diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/README.md b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/README.md
new file mode 100644
index 000000000000..edf98ba11557
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/README.md
@@ -0,0 +1,258 @@
+
+
+# Probability Density Function
+
+> [Half-normal][halfnormal-distribution] distribution probability density function (PDF).
+
+
+
+The [probability density function][pdf] (PDF) for a [half-normal][halfnormal-distribution] random variable is
+
+
+
+```math
+f(x;\sigma)=\frac{\sqrt{2}}{\sigma\sqrt{\pi}}\, e^{-\frac{x^2}{2 \sigma^2}}
+```
+
+
+
+
+
+where `σ` is the scale parameter.
+
+
+
+
+
+
+
+## Usage
+
+```javascript
+var pdf = require( '@stdlib/stats/base/dists/halfnormal/pdf' );
+```
+
+#### pdf( x, sigma )
+
+Evaluates the [probability density function][pdf] (PDF) for a [half-normal][halfnormal-distribution] distribution with parameter `sigma` (scale parameter).
+
+```javascript
+var y = pdf( 2.0, 1.0 );
+// returns ~0.108
+
+y = pdf( 1.0, 4.0 );
+// returns ~0.193
+```
+
+If provided `NaN` as any argument, the function returns `NaN`.
+
+```javascript
+var y = pdf( NaN, 1.0 );
+// returns NaN
+
+y = pdf( 0.0, NaN );
+// returns NaN
+```
+
+If provided `sigma <= 0`, the function returns `NaN`.
+
+```javascript
+var y = pdf( 2.0, -1.0 );
+// returns NaN
+
+y = pdf( 2.0, 0.0 );
+// returns NaN
+```
+
+If provided a negative value for `x`, the function returns `0.0`.
+
+```javascript
+var y = pdf( -1.0, 1.0 );
+// returns 0.0
+```
+
+#### pdf.factory( sigma )
+
+Returns a function for evaluating the [probability density function][pdf] (PDF) of a [half-normal][halfnormal-distribution] distribution with parameter `sigma` (scale parameter).
+
+```javascript
+var mypdf = pdf.factory( 2.0 );
+
+var y = mypdf( 3.0 );
+// returns ~0.130
+
+y = mypdf( 1.0 );
+// returns ~0.352
+```
+
+
+
+
+
+
+
+## Examples
+
+
+
+```javascript
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var pdf = require( '@stdlib/stats/base/dists/halfnormal/pdf' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = uniform( 10, 0.0, 10.0, opts );
+var sigma = uniform( 10, 0.0, 10.0, opts );
+
+logEachMap( 'x: %lf, σ: %lf, f(x;σ): %lf', x, sigma, pdf );
+```
+
+
+
+
+
+
+
+* * *
+
+
+
+## C APIs
+
+
+
+
+
+
+
+
+
+
+
+### Usage
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/pdf.h"
+```
+
+#### stdlib_base_dists_halfnormal_pdf( x, sigma )
+
+Evaluates the [probability density function][pdf] (PDF) for a [half-normal][halfnormal-distribution] distribution with parameter `sigma` (scale parameter).
+
+```c
+double y = stdlib_base_dists_halfnormal_pdf( 2.0, 1.0 );
+// returns ~0.108
+```
+
+The function accepts the following arguments:
+
+- **x**: `[in] double` input value.
+- **sigma**: `[in] double` scale parameter.
+
+```c
+double stdlib_base_dists_halfnormal_pdf( const double x, const double sigma );
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+### Examples
+
+```c
+#include "stdlib/stats/base/dists/halfnormal/pdf.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double x;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ x = random_uniform( 0.0, 10.0 );
+ sigma = random_uniform( 0.0, 10.0 );
+ y = stdlib_base_dists_halfnormal_pdf( x, sigma );
+ printf( "x: %lf, σ: %lf, f(x;σ): %lf\n", x, sigma, y );
+ }
+}
+```
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+[pdf]: https://en.wikipedia.org/wiki/Probability_density_function
+
+[halfnormal-distribution]: https://en.wikipedia.org/wiki/Half-normal_distribution
+
+
+
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/benchmark.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/benchmark.js
new file mode 100644
index 000000000000..c1a032ae945c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/benchmark.js
@@ -0,0 +1,91 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var bench = require( '@stdlib/bench' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var format = require( '@stdlib/string/format' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var pkg = require( './../package.json' ).name;
+var pdf = require( './../lib' );
+
+
+// MAIN //
+
+bench( pkg, function benchmark( b ) {
+ var sigma;
+ var opts;
+ var x;
+ var y;
+ var i;
+
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 10.0, opts );
+ sigma = uniform( 100, EPS, 10.0, opts );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = pdf( x[ i % x.length ], sigma[ i % sigma.length ] );
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
+
+bench( format( '%s:factory', pkg ), function benchmark( b ) {
+ var pdfFunc;
+ var sigma;
+ var opts;
+ var x;
+ var y;
+ var i;
+
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 10.0, opts );
+ sigma = 2.0;
+
+ pdfFunc = pdf.factory( sigma );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = pdfFunc( x[ i % x.length ] );
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/benchmark.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/benchmark.native.js
new file mode 100644
index 000000000000..15f8b70040d6
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/benchmark.native.js
@@ -0,0 +1,69 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var bench = require( '@stdlib/bench' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var uniform = require( '@stdlib/random/array/uniform' );
+var format = require( '@stdlib/string/format' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var pkg = require( './../package.json' ).name;
+
+
+// VARIABLES //
+
+var pdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( pdf instanceof Error )
+};
+
+
+// MAIN //
+
+bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
+ var sigma;
+ var opts;
+ var x;
+ var y;
+ var i;
+
+ opts = {
+ 'dtype': 'float64'
+ };
+ x = uniform( 100, 0.0, 10.0, opts );
+ sigma = uniform( 100, EPS, 10.0, opts );
+
+ b.tic();
+ for ( i = 0; i < b.iterations; i++ ) {
+ y = pdf( x[ i % x.length ], sigma[ i % sigma.length ] );
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ }
+ b.toc();
+ if ( isnan( y ) ) {
+ b.fail( 'should not return NaN' );
+ }
+ b.pass( 'benchmark finished' );
+ b.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/c/Makefile
new file mode 100644
index 000000000000..979768abbcec
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+ CC := $(C_COMPILER)
+else
+ CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+ -std=c99 \
+ -O3 \
+ -Wall \
+ -pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+ fPIC ?=
+else
+ fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := benchmark.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+ $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled benchmarks.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+ $(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+ $(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/c/benchmark.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/c/benchmark.c
new file mode 100644
index 000000000000..6503edb5411e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/benchmark/c/benchmark.c
@@ -0,0 +1,141 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/pdf.h"
+#include "stdlib/constants/float64/eps.h"
+#include
+#include
+#include
+#include
+#include
+
+#define NAME "halfnormal-pdf"
+#define ITERATIONS 1000000
+#define REPEATS 3
+
+/**
+* Prints the TAP version.
+*/
+static void print_version( void ) {
+ printf( "TAP version 13\n" );
+}
+
+/**
+* Prints the TAP summary.
+*
+* @param total total number of tests
+* @param passing total number of passing tests
+*/
+static void print_summary( int total, int passing ) {
+ printf( "#\n" );
+ printf( "1..%d\n", total ); // TAP plan
+ printf( "# total %d\n", total );
+ printf( "# pass %d\n", passing );
+ printf( "#\n" );
+ printf( "# ok\n" );
+}
+
+/**
+* Prints benchmarks results.
+*
+* @param elapsed elapsed time in seconds
+*/
+static void print_results( double elapsed ) {
+ double rate = (double)ITERATIONS / elapsed;
+ printf( " ---\n" );
+ printf( " iterations: %d\n", ITERATIONS );
+ printf( " elapsed: %0.9f\n", elapsed );
+ printf( " rate: %0.9f\n", rate );
+ printf( " ...\n" );
+}
+
+/**
+* Returns a clock time.
+*
+* @return clock time
+*/
+static double tic( void ) {
+ struct timeval now;
+ gettimeofday( &now, NULL );
+ return (double)now.tv_sec + (double)now.tv_usec/1.0e6;
+}
+
+/**
+* Generates a random number on the interval [min,max).
+*
+* @param min minimum value (inclusive)
+* @param max maximum value (exclusive)
+* @return random number
+*/
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+/**
+* Runs a benchmark.
+*
+* @return elapsed time in seconds
+*/
+static double benchmark( void ) {
+ double elapsed;
+ double sigma[ 100 ];
+ double x[ 100 ];
+ double y;
+ double t;
+ int i;
+
+ for ( i = 0; i < 100; i++ ) {
+ x[ i ] = random_uniform( 0.0, 100.0 );
+ sigma[ i ] = random_uniform( STDLIB_CONSTANT_FLOAT64_EPS, 20.0 );
+ }
+
+ t = tic();
+ for ( i = 0; i < ITERATIONS; i++ ) {
+ y = stdlib_base_dists_halfnormal_pdf( x[ i%100 ], sigma[ i%100 ] );
+ if ( y != y ) {
+ printf( "should not return NaN\n" );
+ break;
+ }
+ }
+ elapsed = tic() - t;
+ if ( y != y ) {
+ printf( "should not return NaN\n" );
+ }
+ return elapsed;
+}
+
+/**
+* Main execution sequence.
+*/
+int main( void ) {
+ double elapsed;
+ int i;
+
+ // Use the current time to seed the random number generator:
+ srand( time( NULL ) );
+
+ print_version();
+ for ( i = 0; i < REPEATS; i++ ) {
+ printf( "# c::%s\n", NAME );
+ elapsed = benchmark();
+ print_results( elapsed );
+ printf( "ok %d benchmark finished\n", i+1 );
+ }
+ print_summary( REPEATS, REPEATS );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/binding.gyp b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/binding.gyp
new file mode 100644
index 000000000000..0d6508a12e99
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/binding.gyp
@@ -0,0 +1,170 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# A `.gyp` file for building a Node.js native add-on.
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+ # List of files to include in this file:
+ 'includes': [
+ './include.gypi',
+ ],
+
+ # Define variables to be used throughout the configuration for all targets:
+ 'variables': {
+ # Target name should match the add-on export name:
+ 'addon_target_name%': 'addon',
+
+ # Set variables based on the host OS:
+ 'conditions': [
+ [
+ 'OS=="win"',
+ {
+ # Define the object file suffix:
+ 'obj': 'obj',
+ },
+ {
+ # Define the object file suffix:
+ 'obj': 'o',
+ }
+ ], # end condition (OS=="win")
+ ], # end conditions
+ }, # end variables
+
+ # Define compile targets:
+ 'targets': [
+
+ # Target to generate an add-on:
+ {
+ # The target name should match the add-on export name:
+ 'target_name': '<(addon_target_name)',
+
+ # Define dependencies:
+ 'dependencies': [],
+
+ # Define directories which contain relevant include headers:
+ 'include_dirs': [
+ # Local include directory:
+ '<@(include_dirs)',
+ ],
+
+ # List of source files:
+ 'sources': [
+ '<@(src_files)',
+ ],
+
+ # Settings which should be applied when a target's object files are used as linker input:
+ 'link_settings': {
+ # Define libraries:
+ 'libraries': [
+ '<@(libraries)',
+ ],
+
+ # Define library directories:
+ 'library_dirs': [
+ '<@(library_dirs)',
+ ],
+ },
+
+ # C/C++ compiler flags:
+ 'cflags': [
+ # Enable commonly used warning options:
+ '-Wall',
+
+ # Aggressive optimization:
+ '-O3',
+ ],
+
+ # C specific compiler flags:
+ 'cflags_c': [
+ # Specify the C standard to which a program is expected to conform:
+ '-std=c99',
+ ],
+
+ # C++ specific compiler flags:
+ 'cflags_cpp': [
+ # Specify the C++ standard to which a program is expected to conform:
+ '-std=c++11',
+ ],
+
+ # Linker flags:
+ 'ldflags': [],
+
+ # Apply conditions based on the host OS:
+ 'conditions': [
+ [
+ 'OS=="mac"',
+ {
+ # Linker flags:
+ 'ldflags': [
+ '-undefined dynamic_lookup',
+ '-Wl,-no-pie',
+ '-Wl,-search_paths_first',
+ ],
+ },
+ ], # end condition (OS=="mac")
+ [
+ 'OS!="win"',
+ {
+ # C/C++ flags:
+ 'cflags': [
+ # Generate platform-independent code:
+ '-fPIC',
+ ],
+ },
+ ], # end condition (OS!="win")
+ ], # end conditions
+ }, # end target <(addon_target_name)
+
+ # Target to copy a generated add-on to a standard location:
+ {
+ 'target_name': 'copy_addon',
+
+ # Declare that the output of this target is not linked:
+ 'type': 'none',
+
+ # Define dependencies:
+ 'dependencies': [
+ # Require that the add-on be generated before building this target:
+ '<(addon_target_name)',
+ ],
+
+ # Define a list of actions:
+ 'actions': [
+ {
+ 'action_name': 'copy_addon',
+ 'message': 'Copying addon...',
+
+ # Explicitly list the inputs in the command-line invocation below:
+ 'inputs': [],
+
+ # Declare the expected outputs:
+ 'outputs': [
+ '<(addon_output_dir)/<(addon_target_name).node',
+ ],
+
+ # Define the command-line invocation:
+ 'action': [
+ 'cp',
+ '<(PRODUCT_DIR)/<(addon_target_name).node',
+ '<(addon_output_dir)/<(addon_target_name).node',
+ ],
+ },
+ ], # end actions
+ }, # end target copy_addon
+ ], # end targets
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/repl.txt b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/repl.txt
new file mode 100644
index 000000000000..94458c4ecf2c
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/repl.txt
@@ -0,0 +1,68 @@
+
+{{alias}}( x, sigma )
+ Evaluates the probability density function (PDF) for a half-normal
+ distribution with scale parameter `sigma` at a value `x`.
+
+ If provided `NaN` as any argument, the function returns `NaN`.
+
+ If provided `sigma <= 0`, the function returns `NaN`.
+
+ If provided a negative value for `x`, the function returns `0`.
+
+ Parameters
+ ----------
+ x: number
+ Input value.
+
+ sigma: number
+ Scale parameter.
+
+ Returns
+ -------
+ out: number
+ Evaluated PDF.
+
+ Examples
+ --------
+ > var y = {{alias}}( 0.0, 1.0 )
+ ~0.798
+ > y = {{alias}}( 2.0, 1.0 )
+ ~0.108
+ > y = {{alias}}( 0.5, 1.0 )
+ ~0.704
+ > y = {{alias}}( -1.0, 1.0 )
+ 0.0
+ > y = {{alias}}( NaN, 1.0 )
+ NaN
+ > y = {{alias}}( 0.0, NaN )
+ NaN
+ // Negative scale parameter:
+ > y = {{alias}}( 2.0, -1.0 )
+ NaN
+
+
+{{alias}}.factory( sigma )
+ Returns a function for evaluating the probability density function (PDF)
+ of a half-normal distribution with scale parameter `sigma`.
+
+ Parameters
+ ----------
+ sigma: number
+ Scale parameter.
+
+ Returns
+ -------
+ pdf: Function
+ Probability density function (PDF).
+
+ Examples
+ --------
+ > var myPDF = {{alias}}.factory( 2.0 );
+ > var y = myPDF( 0.0 )
+ ~0.399
+ > y = myPDF( 2.0 )
+ ~0.242
+
+ See Also
+ --------
+
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/types/index.d.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/types/index.d.ts
new file mode 100644
index 000000000000..a000ddbf13af
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/types/index.d.ts
@@ -0,0 +1,115 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+// TypeScript Version: 4.1
+
+/**
+* Evaluates the probability density function (PDF) for a half-normal distribution.
+*
+* @param x - input value
+* @returns evaluated PDF
+*/
+type Unary = ( x: number ) => number;
+
+/**
+* Interface for the probability density function (PDF) of a half-normal distribution.
+*/
+interface PDF {
+ /**
+ * Evaluates the probability density function (PDF) for a half-normal distribution with scale parameter `sigma` at a value `x`.
+ *
+ * ## Notes
+ *
+ * - If provided `sigma <= 0`, the function returns `NaN`.
+ * - If provided a negative value for `x`, the function returns `0`.
+ *
+ * @param x - input value
+ * @param sigma - scale parameter
+ * @returns evaluated PDF
+ *
+ * @example
+ * var y = pdf( 0.0, 1.0 );
+ * // returns ~0.798
+ *
+ * @example
+ * var y = pdf( 2.0, 1.0 );
+ * // returns ~0.108
+ *
+ * @example
+ * var y = pdf( 0.5, 1.0 );
+ * // returns ~0.704
+ *
+ * @example
+ * var y = pdf( -1.0, 1.0 );
+ * // returns 0.0
+ *
+ * @example
+ * var y = pdf( NaN, 1.0 );
+ * // returns NaN
+ *
+ * @example
+ * var y = pdf( 0.0, NaN );
+ * // returns NaN
+ *
+ * @example
+ * // Negative scale parameter:
+ * var y = pdf( 2.0, -1.0 );
+ * // returns NaN
+ */
+ ( x: number, sigma: number ): number;
+
+ /**
+ * Returns a function for evaluating the probability density function (PDF) for a half-normal distribution with scale parameter `sigma`.
+ *
+ * @param sigma - scale parameter
+ * @returns PDF
+ *
+ * @example
+ * var myPDF = pdf.factory( 2.0 );
+ *
+ * var y = myPDF( 0.0 );
+ * // returns ~0.399
+ *
+ * y = myPDF( 2.0 );
+ * // returns ~0.242
+ */
+ factory( sigma: number ): Unary;
+}
+
+/**
+* Half-normal distribution probability density function (PDF).
+*
+* @param x - input value
+* @param sigma - scale parameter
+* @returns evaluated PDF
+*
+* @example
+* var y = pdf( 2.0, 1.0 );
+* // returns ~0.108
+*
+* @example
+* var myPDF = pdf.factory( 2.0 );
+* var y = myPDF( 0.5 );
+* // returns ~0.387
+*/
+declare var pdf: PDF;
+
+
+// EXPORTS //
+
+export = pdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/types/test.ts b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/types/test.ts
new file mode 100644
index 000000000000..8566905c5829
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/docs/types/test.ts
@@ -0,0 +1,99 @@
+/*
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+import pdf = require( './index' );
+
+
+// TESTS //
+
+// The function returns a number...
+{
+ pdf( 2, 2 ); // $ExpectType number
+ pdf( 1, 8 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function is provided values other than two numbers...
+{
+ pdf( true, 3 ); // $ExpectError
+ pdf( false, 2 ); // $ExpectError
+ pdf( '5', 1 ); // $ExpectError
+ pdf( [], 1 ); // $ExpectError
+ pdf( {}, 2 ); // $ExpectError
+ pdf( ( x: number ): number => x, 2 ); // $ExpectError
+
+ pdf( 9, true ); // $ExpectError
+ pdf( 9, false ); // $ExpectError
+ pdf( 5, '5' ); // $ExpectError
+ pdf( 8, [] ); // $ExpectError
+ pdf( 9, {} ); // $ExpectError
+ pdf( 8, ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function is provided an unsupported number of arguments...
+{
+ pdf(); // $ExpectError
+ pdf( 2 ); // $ExpectError
+ pdf( 2, 0, 4 ); // $ExpectError
+}
+
+// Attached to main export is a `factory` method which returns a function...
+{
+ pdf.factory( 4 ); // $ExpectType Unary
+}
+
+// The `factory` method returns a function which returns a number...
+{
+ const fcn = pdf.factory( 4 );
+ fcn( 2 ); // $ExpectType number
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided invalid arguments...
+{
+ const fcn = pdf.factory( 4 );
+ fcn( true ); // $ExpectError
+ fcn( false ); // $ExpectError
+ fcn( '5' ); // $ExpectError
+ fcn( [] ); // $ExpectError
+ fcn( {} ); // $ExpectError
+ fcn( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the function returned by the `factory` method is provided an unsupported number of arguments...
+{
+ const fcn = pdf.factory( 4 );
+ fcn(); // $ExpectError
+ fcn( 2, 0 ); // $ExpectError
+ fcn( 2, 0, 1 ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided values other than a number...
+{
+ pdf.factory( true ); // $ExpectError
+ pdf.factory( false ); // $ExpectError
+ pdf.factory( '5' ); // $ExpectError
+ pdf.factory( [] ); // $ExpectError
+ pdf.factory( {} ); // $ExpectError
+ pdf.factory( ( x: number ): number => x ); // $ExpectError
+}
+
+// The compiler throws an error if the `factory` method is provided an unsupported number of arguments...
+{
+ pdf.factory(); // $ExpectError
+ pdf.factory( 2, 0 ); // $ExpectError
+ pdf.factory( 2, 0, 1 ); // $ExpectError
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/c/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/c/Makefile
new file mode 100644
index 000000000000..c8f8e9a1517b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/c/Makefile
@@ -0,0 +1,146 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+# Define the program used for compiling C source files:
+ifdef C_COMPILER
+ CC := $(C_COMPILER)
+else
+ CC := gcc
+endif
+
+# Define the command-line options when compiling C files:
+CFLAGS ?= \
+ -std=c99 \
+ -O3 \
+ -Wall \
+ -pedantic
+
+# Determine whether to generate position independent code ([1][1], [2][2]).
+#
+# [1]: https://gcc.gnu.org/onlinedocs/gcc/Code-Gen-Options.html#Code-Gen-Options
+# [2]: http://stackoverflow.com/questions/5311515/gcc-fpic-option
+ifeq ($(OS), WINNT)
+ fPIC ?=
+else
+ fPIC ?= -fPIC
+endif
+
+# List of includes (e.g., `-I /foo/bar -I /beep/boop/include`):
+INCLUDE ?=
+
+# List of source files:
+SOURCE_FILES ?=
+
+# List of libraries (e.g., `-lopenblas -lpthread`):
+LIBRARIES ?=
+
+# List of library paths (e.g., `-L /foo/bar -L /beep/boop`):
+LIBPATH ?=
+
+# List of C targets:
+c_targets := example.out
+
+
+# RULES #
+
+#/
+# Compiles source files.
+#
+# @param {string} [C_COMPILER] - C compiler (e.g., `gcc`)
+# @param {string} [CFLAGS] - C compiler options
+# @param {(string|void)} [fPIC] - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} [INCLUDE] - list of includes (e.g., `-I /foo/bar -I /beep/boop/include`)
+# @param {string} [SOURCE_FILES] - list of source files
+# @param {string} [LIBPATH] - list of library paths (e.g., `-L /foo/bar -L /beep/boop`)
+# @param {string} [LIBRARIES] - list of libraries (e.g., `-lopenblas -lpthread`)
+#
+# @example
+# make
+#
+# @example
+# make all
+#/
+all: $(c_targets)
+
+.PHONY: all
+
+#/
+# Compiles C source files.
+#
+# @private
+# @param {string} CC - C compiler (e.g., `gcc`)
+# @param {string} CFLAGS - C compiler options
+# @param {(string|void)} fPIC - compiler flag determining whether to generate position independent code (e.g., `-fPIC`)
+# @param {string} INCLUDE - list of includes (e.g., `-I /foo/bar`)
+# @param {string} SOURCE_FILES - list of source files
+# @param {string} LIBPATH - list of library paths (e.g., `-L /foo/bar`)
+# @param {string} LIBRARIES - list of libraries (e.g., `-lopenblas`)
+#/
+$(c_targets): %.out: %.c
+ $(QUIET) $(CC) $(CFLAGS) $(fPIC) $(INCLUDE) -o $@ $(SOURCE_FILES) $< $(LIBPATH) -lm $(LIBRARIES)
+
+#/
+# Runs compiled examples.
+#
+# @example
+# make run
+#/
+run: $(c_targets)
+ $(QUIET) ./$<
+
+.PHONY: run
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean:
+ $(QUIET) -rm -f *.o *.out
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/c/example.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/c/example.c
new file mode 100644
index 000000000000..2b014e793952
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/c/example.c
@@ -0,0 +1,40 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/pdf.h"
+#include
+#include
+
+static double random_uniform( const double min, const double max ) {
+ double v = (double)rand() / ( (double)RAND_MAX + 1.0 );
+ return min + ( v*(max-min) );
+}
+
+int main( void ) {
+ double sigma;
+ double x;
+ double y;
+ int i;
+
+ for ( i = 0; i < 25; i++ ) {
+ x = random_uniform( 0.0, 10.0 );
+ sigma = random_uniform( 0.0, 10.0 );
+ y = stdlib_base_dists_halfnormal_pdf( x, sigma );
+ printf( "x: %lf, σ: %lf, f(x;σ): %lf\n", x, sigma, y );
+ }
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/index.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/index.js
new file mode 100644
index 000000000000..fc5ee6cf0ed8
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/examples/index.js
@@ -0,0 +1,31 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+var uniform = require( '@stdlib/random/array/uniform' );
+var logEachMap = require( '@stdlib/console/log-each-map' );
+var pdf = require( './../lib' );
+
+var opts = {
+ 'dtype': 'float64'
+};
+var x = uniform( 10, 0.0, 10.0, opts );
+var sigma = uniform( 10, 0.0, 10.0, opts );
+
+logEachMap( 'x: %lf, σ: %lf, f(x;σ): %lf', x, sigma, pdf );
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/include.gypi b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/include.gypi
new file mode 100644
index 000000000000..bee8d41a2caf
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/include.gypi
@@ -0,0 +1,53 @@
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+# A GYP include file for building a Node.js native add-on.
+#
+# Main documentation:
+#
+# [1]: https://gyp.gsrc.io/docs/InputFormatReference.md
+# [2]: https://gyp.gsrc.io/docs/UserDocumentation.md
+{
+ # Define variables to be used throughout the configuration for all targets:
+ 'variables': {
+ # Source directory:
+ 'src_dir': './src',
+
+ # Include directories:
+ 'include_dirs': [
+ '
+ */
+ function pdf( x ) {
+ var C;
+ if ( isnan( x ) ) {
+ return NaN;
+ }
+ if ( x < 0.0 ) {
+ return 0.0;
+ }
+ C = x / sigma;
+ return A * exp( -0.5 * ( C*C ) );
+ }
+}
+
+
+// EXPORTS //
+
+module.exports = factory;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/index.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/index.js
new file mode 100644
index 000000000000..60fad3c728b7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/index.js
@@ -0,0 +1,63 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+/**
+* Half-normal distribution probability density function (PDF).
+*
+* @module @stdlib/stats/base/dists/halfnormal/pdf
+*
+* @example
+* var pdf = require( '@stdlib/stats/base/dists/halfnormal/pdf' );
+*
+* var y = pdf( 2.0, 1.0 );
+* // returns ~0.108
+*
+* y = pdf( 0.5, 1.0 );
+* // returns ~0.704
+*
+* y = pdf( -1.0, 1.0 );
+* // returns 0.0
+*
+* @example
+* var pdfFactory = require( '@stdlib/stats/base/dists/halfnormal/pdf' ).factory;
+*
+* var pdf = pdfFactory( 1.0 );
+* var y = pdf( 2.0 );
+* // returns ~0.108
+*
+* y = pdf( 1.0 );
+* // returns ~0.484
+*/
+
+// MODULES //
+
+var setReadOnly = require( '@stdlib/utils/define-nonenumerable-read-only-property' );
+var main = require( './main.js' );
+var factory = require( './factory.js' );
+
+
+// MAIN //
+
+setReadOnly( main, 'factory', factory );
+
+
+// EXPORTS //
+
+module.exports = main;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/main.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/main.js
new file mode 100644
index 000000000000..19a015661389
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/main.js
@@ -0,0 +1,77 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var exp = require( '@stdlib/math/base/special/exp' );
+var sqrt = require( '@stdlib/math/base/special/sqrt' );
+var PI = require( '@stdlib/constants/float64/pi' );
+
+
+// MAIN //
+
+/**
+* Evaluates the probability density function (PDF) for a half-normal distribution.
+*
+* @param {number} x - input value
+* @param {PositiveNumber} sigma - scale parameter
+* @returns {number} evaluated PDF
+*
+* @example
+* var y = pdf( 2.0, 1.0 );
+* // returns ~0.108
+*
+* @example
+* var y = pdf( 0.5, 1.0 );
+* // returns ~0.704
+*
+* @example
+* var y = pdf( -1.0, 1.0 );
+* // returns 0.0
+*
+* @example
+* var y = pdf( NaN, 1.0 );
+* // returns NaN
+*
+* @example
+* var y = pdf( 0.0, NaN );
+* // returns NaN
+*
+* @example
+* var y = pdf( 0.0, -1.0 );
+* // returns NaN
+*/
+function pdf( x, sigma ) {
+ var C;
+ if ( isnan( x ) || isnan( sigma ) || sigma <= 0.0 ) {
+ return NaN;
+ }
+ if ( x < 0.0 ) {
+ return 0.0;
+ }
+ C = x / sigma;
+ return ( sqrt( 2.0 / PI ) * exp( -0.5 * ( C*C ) ) / sigma );
+}
+
+
+// EXPORTS //
+
+module.exports = pdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/native.js
new file mode 100644
index 000000000000..14355d745477
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/lib/native.js
@@ -0,0 +1,55 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var addon = require( './../src/addon.node' );
+
+
+// MAIN //
+
+/**
+* Evaluates the probability density function (PDF) for a half-normal distribution.
+*
+* @private
+* @param {number} x - input value
+* @param {PositiveNumber} sigma - scale parameter
+* @returns {number} evaluated PDF
+*
+* @example
+* var y = pdf( 2.0, 1.0 );
+* // returns ~0.108
+*
+* @example
+* var y = pdf( 0.5, 1.0 );
+* // returns ~0.704
+*
+* @example
+* var y = pdf( -1.0, 1.0 );
+* // returns 0.0
+*/
+function pdf( x, sigma ) {
+ return addon( x, sigma );
+}
+
+
+// EXPORTS //
+
+module.exports = pdf;
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/manifest.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/manifest.json
new file mode 100644
index 000000000000..72c8b19e95c7
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/manifest.json
@@ -0,0 +1,86 @@
+{
+ "options": {
+ "task": "build",
+ "wasm": false
+ },
+ "fields": [
+ {
+ "field": "src",
+ "resolve": true,
+ "relative": true
+ },
+ {
+ "field": "include",
+ "resolve": true,
+ "relative": true
+ },
+ {
+ "field": "libraries",
+ "resolve": false,
+ "relative": false
+ },
+ {
+ "field": "libpath",
+ "resolve": true,
+ "relative": false
+ }
+ ],
+ "confs": [
+ {
+ "task": "build",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/math/base/napi/binary",
+ "@stdlib/math/base/special/sqrt",
+ "@stdlib/math/base/special/exp",
+ "@stdlib/constants/float64/pi",
+ "@stdlib/math/base/assert/is-nan"
+ ]
+ },
+ {
+ "task": "benchmark",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/constants/float64/eps",
+ "@stdlib/math/base/special/sqrt",
+ "@stdlib/math/base/special/exp",
+ "@stdlib/constants/float64/pi",
+ "@stdlib/math/base/assert/is-nan"
+ ]
+ },
+ {
+ "task": "examples",
+ "wasm": false,
+ "src": [
+ "./src/main.c"
+ ],
+ "include": [
+ "./include"
+ ],
+ "libraries": [],
+ "libpath": [],
+ "dependencies": [
+ "@stdlib/math/base/special/sqrt",
+ "@stdlib/math/base/special/exp",
+ "@stdlib/constants/float64/pi",
+ "@stdlib/math/base/assert/is-nan"
+ ]
+ }
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/package.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/package.json
new file mode 100644
index 000000000000..ec8a756da706
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/package.json
@@ -0,0 +1,67 @@
+{
+ "name": "@stdlib/stats/base/dists/halfnormal/pdf",
+ "version": "0.0.0",
+ "description": "Half-normal distribution probability density function (PDF).",
+ "license": "Apache-2.0",
+ "author": {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ },
+ "contributors": [
+ {
+ "name": "The Stdlib Authors",
+ "url": "https://github.com/stdlib-js/stdlib/graphs/contributors"
+ }
+ ],
+ "main": "./lib",
+ "gypfile": true,
+ "directories": {
+ "benchmark": "./benchmark",
+ "doc": "./docs",
+ "example": "./examples",
+ "include": "./include",
+ "lib": "./lib",
+ "src": "./src",
+ "test": "./test"
+ },
+ "types": "./docs/types",
+ "scripts": {},
+ "homepage": "https://github.com/stdlib-js/stdlib",
+ "repository": {
+ "type": "git",
+ "url": "git://github.com/stdlib-js/stdlib.git"
+ },
+ "bugs": {
+ "url": "https://github.com/stdlib-js/stdlib/issues"
+ },
+ "dependencies": {},
+ "devDependencies": {},
+ "engines": {
+ "node": ">=0.10.0",
+ "npm": ">2.7.0"
+ },
+ "os": [
+ "aix",
+ "darwin",
+ "freebsd",
+ "linux",
+ "macos",
+ "openbsd",
+ "sunos",
+ "win32",
+ "windows"
+ ],
+ "keywords": [
+ "stdlib",
+ "stdmath",
+ "statistics",
+ "stats",
+ "distribution",
+ "dist",
+ "continuous",
+ "probability",
+ "pdf",
+ "half-normal",
+ "univariate"
+ ]
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/Makefile b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/Makefile
new file mode 100644
index 000000000000..2caf905cedbe
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/Makefile
@@ -0,0 +1,70 @@
+#/
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+#/
+
+# VARIABLES #
+
+ifndef VERBOSE
+ QUIET := @
+else
+ QUIET :=
+endif
+
+# Determine the OS ([1][1], [2][2]).
+#
+# [1]: https://en.wikipedia.org/wiki/Uname#Examples
+# [2]: http://stackoverflow.com/a/27776822/2225624
+OS ?= $(shell uname)
+ifneq (, $(findstring MINGW,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring MSYS,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring CYGWIN,$(OS)))
+ OS := WINNT
+else
+ifneq (, $(findstring Windows_NT,$(OS)))
+ OS := WINNT
+endif
+endif
+endif
+endif
+
+
+# RULES #
+
+#/
+# Removes generated files for building an add-on.
+#
+# @example
+# make clean-addon
+#/
+clean-addon:
+ $(QUIET) -rm -f *.o *.node
+
+.PHONY: clean-addon
+
+#/
+# Removes generated files.
+#
+# @example
+# make clean
+#/
+clean: clean-addon
+
+.PHONY: clean
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/addon.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/addon.c
new file mode 100644
index 000000000000..27ab9192b45b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/addon.c
@@ -0,0 +1,22 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/pdf.h"
+#include "stdlib/math/base/napi/binary.h"
+
+STDLIB_MATH_BASE_NAPI_MODULE_DD_D( stdlib_base_dists_halfnormal_pdf )
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/main.c b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/main.c
new file mode 100644
index 000000000000..6acc67b51eda
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/src/main.c
@@ -0,0 +1,46 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+#include "stdlib/stats/base/dists/halfnormal/pdf.h"
+#include "stdlib/math/base/assert/is_nan.h"
+#include "stdlib/math/base/special/exp.h"
+#include "stdlib/math/base/special/sqrt.h"
+#include "stdlib/constants/float64/pi.h"
+
+/**
+* Evaluates the probability density function (PDF) for a half-normal distribution.
+*
+* @param x input value
+* @param sigma scale parameter
+* @return evaluated PDF
+*
+* @example
+* double y = stdlib_base_dists_halfnormal_pdf( 2.0, 1.0 );
+* // returns ~0.108
+*/
+double stdlib_base_dists_halfnormal_pdf( const double x, const double sigma ) {
+ double C;
+ if ( stdlib_base_is_nan( x ) || stdlib_base_is_nan( sigma ) || sigma <= 0.0 ) {
+ return 0.0/0.0; // NaN
+ }
+ if ( x < 0.0 ) {
+ return 0.0;
+ }
+ C = x / sigma;
+ return ( stdlib_base_sqrt( 2.0 / STDLIB_CONSTANT_FLOAT64_PI ) * stdlib_base_exp( -0.5 * ( C*C ) ) / sigma );
+}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/REQUIRE b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/REQUIRE
new file mode 100644
index 000000000000..98be20b58ed3
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/REQUIRE
@@ -0,0 +1,3 @@
+Distributions 0.23.8
+julia 1.5
+JSON 0.21
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/data.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/data.json
new file mode 100644
index 000000000000..c426995b32f1
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/data.json
@@ -0,0 +1 @@
+{"sigma":[1.014077082717491,0.05461070700271605,0.0030190570430459474,0.129668613378293,3.0107932271731856,0.0001263715741734257,0.2690715294614892,0.0008145030945235261,0.014011668472413268,0.0003211989588952947,0.002331317918217964,0.0861031567574214,0.15852431367897427,0.03391633382462403,0.013852784589592047,3.795575948797978,0.0018903129242116023,0.00014481003102355432,0.00012938136271958644,0.00022610028074074214,0.0008265574976540885,0.2353966050419354,0.00028721639066894844,0.05322943326589364,0.00010962681383343562,0.29516031315556357,0.024931012012354092,1.2231022402197773,5.867789762998071,0.03875505183857373,0.0008661851005298934,0.0001735540525324496,0.00021267782048129706,0.0019350812437300784,0.05179249634729571,2.304266866051037,0.33105031780307403,0.0007174747146047518,0.00035723553897575223,0.006507307868374369,1.3998743503617948,8.456161052628993,0.0003401586164770384,7.485604197433923,0.1709297540078318,0.0008689192097772364,2.2692140968805563,0.0037491864436956742,0.17889415532097658,0.02198612626354738,0.11366250123184297,2.040399527575774,0.004735166876857845,0.06271747088916386,0.9629983243021474,3.333118525677393,3.5751065587596935,0.12846804307198126,0.006561562203213255,0.0004412455403167113,0.00022369505775590666,0.028730384841145252,3.58042565674417,8.616193780630116,8.499703495035048,0.0016095106482811497,4.576267228872018,0.40803542685919486,0.0011442578083830006,3.6185347348261376,0.5204822139675078,0.005911864398667221,1.9716337228206884,2.8462274899493507,0.0009822844047881155,0.011470401094203001,0.00838826562849397,0.0005479532689968958,0.0005538387464004571,0.8222524391755647,4.59940199837231,0.01347793363182091,5.362731334996378,0.004729689865353361,0.0006611756713833247,1.5361235407789466,0.00019168044747486476,0.7970928096334695,0.2329093862596886,0.0012160167964381798,0.9176615755442857,0.29047618317736756,0.2368557200673298,0.005144894421997625,0.005968694255590261,0.00037217425421413023,1.031314139067048,0.002886210580113031,0.014033203854279079,0.001969453882903723,0.008726149498431993,0.005667076903916152,0.0072982544493323765,0.002422624104928762,0.00047755368709426617,0.01997505358193622,0.0004395927091645898,0.9506591453112555,0.0007016926402959481,4.13581845375347,0.004575335601511642,0.056074997041164906,2.8771648850624385,0.4218338701926125,0.027194939243189217,0.06310835109801982,0.0007207157381990542,8.956664944180622,0.10897892582018842,5.48163716708078,0.042142598143233734,0.019892751402930772,0.00795383115708209,0.04458360430754435,1.4941594840940553,0.0043663954930063704,0.9799858019031845,0.4940083208137977,0.6152646601677874,5.468578049519346,0.00014282625073223348,0.008448534595601541,0.23997620828237867,0.02338091321468941,0.007773378593524031,0.010279390914996992,0.7409200320090849,0.6905715893788335,0.1849814366709373,0.0003765592760684877,0.18258023224305076,0.6241873441155702,0.001189423887486773,0.23889212427048936,0.8390019914980363,0.15192743792543092,0.8750133364697751,0.0010542247377336564,0.0013872466816662833,0.1193946990958423,1.3936227468612146,0.00045728723797559665,0.00013161001301765718,1.2935246780513743,0.3588209981992484,8.17508523379069,0.014771773107513694,0.10832294669650619,0.1339202457110829,0.19368417754268374,0.6141525117240946,0.3219114855044611,0.00017441092713918113,0.00010294258819333412,0.003910261465034424,0.0009979069659333984,0.00038871879488278955,0.5053962935029473,0.0042585318572818335,0.3033236967949268,1.4500216052223451,1.291203904600827,0.12516277090544292,0.0004919496391289292,0.8817405439167662,0.0031609522618081796,0.00024039524842005383,0.3026398237715199,0.002138807814631879,0.001546040573778535,0.23228072672296027,0.028745754596856923,0.0008842461906329627,0.2860722301603794,0.0015015340176731985,0.0003048001881815007,0.15514424304253513,0.00039724565310386456,0.22661352601646823,0.00017467217028764947,9.17138346111192,0.297854548867075,0.000688557619291578,0.0006860625490724005,0.002441104621581321,0.0003990136227184176,0.04524603679386834,2.1582083624719544,1.6095023853459534,1.6855159647589975,1.7752723360944573,0.0024600595404372784,1.3823352585660194,0.9957375685669304,0.24397129251002808,0.08580806132893029,0.415782905447109,0.04886447244800903,0.0008302707917861228,7.2968468919179506,0.41333760683164905,0.03903790255584466,0.00011869541104023577,0.0010029439985140638,0.0012912514032176105,1.8977196627779682,0.6679245323805864,8.116672953862253,0.0008295002666755182,2.4342038377228485,0.06148533673813632,0.0002946903613591603,0.005589392225618704,1.0859710326054037,7.912277102962613,4.24043394239535,0.0007183703325436998,1.5536705204498478,0.25443541636600475,0.0007928416041909881,0.12494428591900464,3.3829097257684513,0.07378080114129579,0.02657862892214817,0.00010308889844345021,0.00251840623308448,0.5531724902282292,0.06664614062147332,0.006593669598239817,0.19794572579885486,0.0006007572742153224,0.015636877138607043,0.2908781767116943,0.04901358688583772,2.269505141283035,3.666514504627325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diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/large_sigma.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/large_sigma.json
new file mode 100644
index 000000000000..49838fe06156
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/large_sigma.json
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diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/runner.jl b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/runner.jl
new file mode 100644
index 000000000000..2c8005712c49
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/runner.jl
@@ -0,0 +1,93 @@
+#!/usr/bin/env julia
+#
+# @license Apache-2.0
+#
+# Copyright (c) 2026 The Stdlib Authors.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+using Distributions
+using JSON
+using Random
+
+"""
+ halfnormal_pdf( x, sigma )
+
+Evaluate the half-normal probability density function.
+
+The half-normal distribution is defined as
+
+ X = |Z|, where Z ~ Normal(0, σ)
+
+which is equivalent to a truncated normal distribution
+
+ Truncated( Normal(0, σ), 0, ∞ ).
+"""
+halfnormal_pdf( x, sigma ) = pdf( Truncated( Normal( 0.0, sigma ), 0.0, Inf ), x )
+
+"""
+ gen( x, sigma, name )
+
+Generate half-normal PDF fixture data and write to file.
+
+# Arguments
+
+* `x::Vector{<:Real}`: input values
+* `sigma::Vector{<:Real}`: scale parameters
+* `name::AbstractString`: output filename
+"""
+function gen( x, sigma, name )
+ z = Array{Float64}( undef, length(x) )
+ for i in eachindex(x)
+ z[i] = halfnormal_pdf( x[i], sigma[i] )
+ end
+
+ # Store data to be written to file:
+ data = Dict([
+ ( "x", x ),
+ ( "sigma", sigma ),
+ ( "expected", z )
+ ])
+
+ # Output path relative to this script:
+ filepath = joinpath( dirname(@__FILE__), name )
+
+ # Write JSON:
+ open( filepath, "w" ) do io
+ write( io, JSON.json( data ) )
+ write( io, "\n" )
+ end
+end
+
+# Ensure reproducibility:
+Random.seed!( 123456 )
+
+# Small sigma:
+sigma = ( rand( 1000 ) .* 0.9 ) .+ 0.1
+x = rand( 1000 ) .* 10.0 .* sigma
+gen( x, sigma, "small_sigma.json" )
+
+# Large sigma:
+sigma = ( rand( 1000 ) .* 90.0 ) .+ 10.0
+x = rand( 1000 ) .* 10.0 .* sigma
+gen( x, sigma, "large_sigma.json" )
+
+# Very large sigma:
+sigma = ( rand( 1000 ) .* 900.0 ) .+ 100.0
+x = rand( 1000 ) .* 10.0 .* sigma
+gen( x, sigma, "very_large_sigma.json" )
+
+# Various sigma (log-uniform):
+sigma = exp.( rand( 1000 ) .* ( log(10.0) - log(1.0e-4) ) .+ log(1.0e-4) )
+x = rand( 1000 ) .* 10.0 .* sigma
+gen( x, sigma, "data.json" )
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/small_sigma.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/small_sigma.json
new file mode 100644
index 000000000000..32f074683d71
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/small_sigma.json
@@ -0,0 +1 @@
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diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/very_large_sigma.json b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/very_large_sigma.json
new file mode 100644
index 000000000000..ebad5c00581e
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/fixtures/julia/very_large_sigma.json
@@ -0,0 +1 @@
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165,8274.384021324136,498.8713476779518,419.6903353592303,8105.777379585429,1472.797657490006,1580.0157978248164,5418.82657682992,122.49620275980483,97.72773458452403,1545.6811439642854,3003.937830587555,6030.924312468101,1946.3257034537555,1807.9582847999143,543.938258187896,3939.9849209350887,2292.952510981287,332.0750265080123,4217.796099832182,1714.0275794148563,3195.984321893302,4499.174923360025,780.7719711231971,2042.1455347389608,60.30598802087095,794.8555174301539,1316.8736503857324,1402.3534720868963,2349.30252572697,1638.0929107909985,2192.746167031066,1168.6717854773378,2250.1321310027306,6306.273056502574,168.00929110553318,789.3247396548038,5342.962929313136,3974.600843577514,834.1935171559862,464.14180114849256,6973.902590847867,4297.5304986775145,5373.875838050043,56.30183822045765,1149.5736075893108,1973.078794364188,503.43773790586465,1619.18460611952,1617.2350480702073,1040.5516286792047,605.811498024833,540.0444204140422,1828.8412358797561,1442.969479372223,1657.851667359476,6245.7694675954235,8105.160053910821,2809.673690114848,494.73859872768855,4840.050574332778,2135.578619490658,5754.854681961808,3273.3315612216497,621.9299472481573,835.2249935129976,186.5170198058955,2939.0532697157164,1342.4527507365137,613.6149225657937,1377.2684862036433,4787.508240007007,7765.765128569742,117.80159857245796,1747.463596282322,1057.1853034815044,2217.3375648847755,3900.19135699161,3259.523192018973,777.4675485391078,5735.504315121411,3747.1068864651493,308.35403802550934,1512.1110163482294,3431.508088515969,3321.877272364008,2901.166245593177,3514.213342253038,166.67393061203717,537.1709718907379,2738.4747299207406,3345.5376627920928,213.310543821902,6211.502876983709,6353.307787856474,7222.568298798203,5966.330949249258,4000.2729394863118,7088.071702242792,896.3143459217514,1616.0268800896542,4108.096814863656,7659.404380034619,1358.4001844226887,2271.6795349989416,3350.210483229795,5054.533614374246,1507.25450653836,600.8915959794863,611.9333964394385,2936.3029284942395,2133.7917368980325,781.049581190518,1885.4304426938645,789.7794207294854,1741.3541218235741,2666.8802347590427,735.0439248526737,30.951947336995865,357.9202112419038,598.4990723148758,831.7217161490712,453.02516885404316,4688.71282408588,399.47500042844587,4417.699242745692,3029.2376298123445,362.40378008230994,1827.7350519522258,761.9825803831842,821.7465246432989,1876.039990767752,3400.017311434703,5111.783018966944,69.71130654099822,1213.3575897348076,760.4336478838501,425.97265801076276,2945.38106260647,8330.634536493082,672.296700816954,2523.6189506714372,315.3915820821365,2707.4976336063146,1832.1193105736716,4535.214416709402,1665.0089089249955,1983.6802921825201,3009.4816688788314,280.8709707072074,4813.076500228199,3899.774365549211,4444.152053614389,7752.621712665222,8469.676263174864,3650.051105561966,57.66251878457048,888.5311376789905,4016.5190979022814,3374.496048821686,1279.5669289731673,1892.602494585734,1152.7477415117648,1396.4053337561475,723.6919235275806,4782.52172943358,3033.134506388449,1287.4068309041882,1241.8040565873935,293.9434054253487,1876.6733951128465,5935.074069164529,2011.040017051744,1225.4374938835447,2674.329096690548,4420.67074080404,3135.2198931940525,3883.697977163533,6817.6224389825065,1337.9043530645058,2826.5577450682213,782.5830608897608,839.8418907414114,560.3534374668918,862.9799956969373,336.72712629922904,3223.3801242195404,6491.185281794031,2443.204833391496]}
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.factory.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.factory.js
new file mode 100644
index 000000000000..eb9a0b7c376b
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.factory.js
@@ -0,0 +1,214 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var factory = require( './../lib/factory.js' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+var smallSigma = require( './fixtures/julia/small_sigma.json' );
+var largeSigma = require( './fixtures/julia/large_sigma.json' );
+var veryLargeSigma = require( './fixtures/julia/very_large_sigma.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof factory, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'the function returns a function', function test( t ) {
+ var pdf = factory( 1.0 );
+ t.strictEqual( typeof pdf, 'function', 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the created function returns `NaN`', function test( t ) {
+ var pdf;
+ var y;
+
+ pdf = factory( 1.0 );
+ y = pdf( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ pdf = factory( NaN );
+ y = pdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ pdf = factory( NaN );
+ y = pdf( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a finite `sigma`, the function returns a function which returns `0` when provided `+infinity` for `x`', function test( t ) {
+ var pdf;
+ var y;
+
+ pdf = factory( 1.0 );
+ y = pdf( PINF );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a finite `sigma`, the function returns a function which returns `0` when provided `-infinity` for `x`', function test( t ) {
+ var pdf;
+ var y;
+
+ pdf = factory( 1.0 );
+ y = pdf( NINF );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a negative `sigma`, the created function always returns `NaN`', function test( t ) {
+ var pdf;
+ var y;
+
+ pdf = factory( -1.0 );
+
+ y = pdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ pdf = factory( NINF );
+ y = pdf( 2.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if `sigma` equals `0`, the created function always returns `NaN`', function test( t ) {
+ var pdf;
+ var y;
+
+ pdf = factory( 0.0 );
+
+ y = pdf( 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( PINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the created function evaluates the pdf for `x` given parameter `sigma` (various values)', function test( t ) {
+ var expected;
+ var sigma;
+ var pdf;
+ var x;
+ var y;
+ var i;
+
+ expected = data.expected;
+ x = data.x;
+ sigma = data.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ pdf = factory( sigma[i] );
+ y = pdf( x[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the created function evaluates the pdf for `x` given small `sigma`', function test( t ) {
+ var expected;
+ var sigma;
+ var pdf;
+ var x;
+ var y;
+ var i;
+
+ expected = smallSigma.expected;
+ x = smallSigma.x;
+ sigma = smallSigma.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ pdf = factory( sigma[i] );
+ y = pdf( x[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the created function evaluates the pdf for `x` given large `sigma`', function test( t ) {
+ var expected;
+ var sigma;
+ var pdf;
+ var x;
+ var y;
+ var i;
+
+ expected = largeSigma.expected;
+ x = largeSigma.x;
+ sigma = largeSigma.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ pdf = factory( sigma[i] );
+ y = pdf( x[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the created function evaluates the pdf for `x` given very large `sigma`', function test( t ) {
+ var expected;
+ var sigma;
+ var pdf;
+ var x;
+ var y;
+ var i;
+
+ expected = veryLargeSigma.expected;
+ x = veryLargeSigma.x;
+ sigma = veryLargeSigma.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ pdf = factory( sigma[i] );
+ y = pdf( x[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.js
new file mode 100644
index 000000000000..f21fbd456392
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.js
@@ -0,0 +1,94 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var abs = require( '@stdlib/math/base/special/abs' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var pdf = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof pdf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+ var y = pdf( NaN, 1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 0.0, NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided `sigma <= 0`, the function returns `NaN`', function test( t ) {
+ var y;
+
+ y = pdf( 2.0, -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ y = pdf( 2.0, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided `x < 0`, the function returns `0`', function test( t ) {
+ var y = pdf( -1.0, 1.0 );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function evaluates the half-normal pdf', function test( t ) {
+ var expected;
+ var delta;
+ var sigma;
+ var tol;
+ var x;
+ var i;
+ var y;
+
+ expected = data.expected;
+ x = data.x;
+ sigma = data.sigma;
+ for ( i = 0; i < expected.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ if ( y === expected[i] ) {
+ t.strictEqual( y, expected[i], 'x: '+x[i]+', sigma: '+sigma[i]+', y: '+y+', expected: '+expected[i] );
+ } else {
+ delta = abs( y - expected[ i ] );
+ tol = 40.0 * EPS * abs( expected[ i ] );
+ t.ok( delta <= tol, 'within tolerance. x: ' + x[i] + ', sigma: ' + sigma[i] + '. y: ' + y + '. E: ' + expected[ i ] + '. Δ: ' + delta + '. tol: ' + tol + '.' );
+ }
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.native.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.native.js
new file mode 100644
index 000000000000..661dd29bdc7d
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.native.js
@@ -0,0 +1,148 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var resolve = require( 'path' ).resolve;
+var tape = require( 'tape' );
+var tryRequire = require( '@stdlib/utils/try-require' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+var smallSigma = require( './fixtures/julia/small_sigma.json' );
+var largeSigma = require( './fixtures/julia/large_sigma.json' );
+var veryLargeSigma = require( './fixtures/julia/very_large_sigma.json' );
+
+
+// VARIABLES //
+
+var pdf = tryRequire( resolve( __dirname, './../lib/native.js' ) );
+var opts = {
+ 'skip': ( pdf instanceof Error )
+};
+
+
+// TESTS //
+
+tape( 'main export is a function', opts, function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof pdf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', opts, function test( t ) {
+ var y = pdf( NaN, 1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 0.0, NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided `sigma <= 0`, the function returns `NaN`', opts, function test( t ) {
+ var y;
+
+ y = pdf( 2.0, -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+ y = pdf( 2.0, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided `x < 0`, the function returns `0`', opts, function test( t ) {
+ var y = pdf( -1.0, 1.0 );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function evaluates the half-normal pdf (various values)', opts, function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var i;
+ var y;
+
+ expected = data.expected;
+ x = data.x;
+ sigma = data.sigma;
+ for ( i = 0; i < expected.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the half-normal pdf (small sigma)', opts, function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var i;
+ var y;
+
+ expected = smallSigma.expected;
+ x = smallSigma.x;
+ sigma = smallSigma.sigma;
+ for ( i = 0; i < expected.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the half-normal pdf (large sigma)', opts, function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var i;
+ var y;
+
+ expected = largeSigma.expected;
+ x = largeSigma.x;
+ sigma = largeSigma.sigma;
+ for ( i = 0; i < expected.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the half-normal pdf (very large sigma)', opts, function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var i;
+ var y;
+
+ expected = veryLargeSigma.expected;
+ x = veryLargeSigma.x;
+ sigma = veryLargeSigma.sigma;
+ for ( i = 0; i < expected.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
diff --git a/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.pdf.js b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.pdf.js
new file mode 100644
index 000000000000..08171dc858da
--- /dev/null
+++ b/lib/node_modules/@stdlib/stats/base/dists/halfnormal/pdf/test/test.pdf.js
@@ -0,0 +1,179 @@
+/**
+* @license Apache-2.0
+*
+* Copyright (c) 2026 The Stdlib Authors.
+*
+* Licensed under the Apache License, Version 2.0 (the "License");
+* you may not use this file except in compliance with the License.
+* You may obtain a copy of the License at
+*
+* http://www.apache.org/licenses/LICENSE-2.0
+*
+* Unless required by applicable law or agreed to in writing, software
+* distributed under the License is distributed on an "AS IS" BASIS,
+* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+* See the License for the specific language governing permissions and
+* limitations under the License.
+*/
+
+'use strict';
+
+// MODULES //
+
+var tape = require( 'tape' );
+var isnan = require( '@stdlib/math/base/assert/is-nan' );
+var isAlmostSameValue = require( '@stdlib/assert/is-almost-same-value' );
+var PINF = require( '@stdlib/constants/float64/pinf' );
+var NINF = require( '@stdlib/constants/float64/ninf' );
+var pdf = require( './../lib' );
+
+
+// FIXTURES //
+
+var data = require( './fixtures/julia/data.json' );
+var smallSigma = require( './fixtures/julia/small_sigma.json' );
+var largeSigma = require( './fixtures/julia/large_sigma.json' );
+var veryLargeSigma = require( './fixtures/julia/very_large_sigma.json' );
+
+
+// TESTS //
+
+tape( 'main export is a function', function test( t ) {
+ t.ok( true, __filename );
+ t.strictEqual( typeof pdf, 'function', 'main export is a function' );
+ t.end();
+});
+
+tape( 'if provided `NaN` for any parameter, the function returns `NaN`', function test( t ) {
+ var y;
+
+ y = pdf( NaN, 1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 0.0, NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( NaN, NaN );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided a negative value for `x`, the function returns `0`', function test( t ) {
+ var y = pdf( -1.0, 1.0 );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided `+infinity` for `x` and a finite `sigma`, the function returns `0`', function test( t ) {
+ var y = pdf( PINF, 1.0 );
+ t.strictEqual( y, 0.0, 'returns expected value' );
+ t.end();
+});
+
+tape( 'if provided a negative `sigma`, the function always returns `NaN`', function test( t ) {
+ var y;
+
+ y = pdf( 2.0, -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 0.0, -1.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 2.0, NINF );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'if provided `sigma` equals `0`, the function always returns `NaN`', function test( t ) {
+ var y;
+
+ y = pdf( 0.0, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( 1.0, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( -1.0, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( PINF, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( NINF, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ y = pdf( NaN, 0.0 );
+ t.strictEqual( isnan( y ), true, 'returns expected value' );
+
+ t.end();
+});
+
+tape( 'the function evaluates the pdf for `x` given parameter `sigma` (various values)', function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var y;
+ var i;
+
+ expected = data.expected;
+ x = data.x;
+ sigma = data.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the pdf for `x` given small `sigma`', function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var y;
+ var i;
+
+ expected = smallSigma.expected;
+ x = smallSigma.x;
+ sigma = smallSigma.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the pdf for `x` given large `sigma`', function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var y;
+ var i;
+
+ expected = largeSigma.expected;
+ x = largeSigma.x;
+ sigma = largeSigma.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});
+
+tape( 'the function evaluates the pdf for `x` given very large `sigma`', function test( t ) {
+ var expected;
+ var sigma;
+ var x;
+ var y;
+ var i;
+
+ expected = veryLargeSigma.expected;
+ x = veryLargeSigma.x;
+ sigma = veryLargeSigma.sigma;
+ for ( i = 0; i < x.length; i++ ) {
+ y = pdf( x[i], sigma[i] );
+ t.strictEqual( isAlmostSameValue( y, expected[i], 40.0 ), true, 'returns expected value' );
+ }
+ t.end();
+});