chore: address commit comments for halfnormal logpdf

Author: GuneetGill

lib/node_modules/@stdlib/stats/base/dists/halfnormal/logpdf/README.md

@@ -20,7 +20,7 @@ limitations under the License.
 
 # Logarithm of Probability Density Function
 
-> [Half-Normal][half-normal-distribution] distribution logarithm of [probability density function (PDF)][pdf].
+> [half-normal][half-normal-distribution] distribution logarithm of [probability density function (PDF)][pdf].
 
 <section class="intro">
 
@@ -175,7 +175,7 @@ logEachMap( 'x: %0.4f, σ: %0.4f, ln(f(x;σ)): %0.4f', x, sigma, logpdf );
 
 #### stdlib_base_dists_halfnormal_logpdf( x, sigma )
 
-Evaluates the logarithm of the [probability density function][pdf] (PDF) for a [Half-Normal][half-normal-distribution] distribution with parameter `sigma` (scale parameter).
+Evaluates the logarithm of the [probability density function][pdf] (PDF) for a [half-normal][half-normal-distribution] distribution with parameter `sigma` (scale parameter).
 
 ```c
 double out = stdlib_base_dists_halfnormal_logpdf( 0.8, 1.0 );

lib/node_modules/@stdlib/stats/base/dists/halfnormal/logpdf/benchmark/benchmark.js

@@ -21,11 +21,10 @@
 // MODULES //
 
 var bench = require( '@stdlib/bench' );
-var Float64Array = require( '@stdlib/array/float64' );
-var uniform = require( '@stdlib/random/base/uniform' );
-var format = require( '@stdlib/string/format' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
 var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 var logpdf = require( './../lib' );
 
@@ -40,12 +39,8 @@ bench( pkg, function benchmark( b ) {
 	var i;
 
 	len = 100;
-	x = new Float64Array( len );
-	sigma = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 10.0 );
-		sigma[ i ] = uniform( EPS, 10.0 );
-	}
+	x = uniform( len, 0.0, 10.0 );
+	sigma = uniform( len, EPS, 10.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {
@@ -73,10 +68,7 @@ bench( format( '%s:factory', pkg ), function benchmark( b ) {
 	sigma = 4.0;
 	mylogpdf = logpdf.factory( sigma );
 	len = 100;
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = uniform( 0.0, 20.0 );
-	}
+	x = uniform( len, 0.0, 20.0 );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {

lib/node_modules/@stdlib/stats/base/dists/halfnormal/logpdf/benchmark/benchmark.native.js

@@ -22,12 +22,11 @@
 
 var resolve = require( 'path' ).resolve;
 var bench = require( '@stdlib/bench' );
-var format = require( '@stdlib/string/format' );
-var Float64Array = require( '@stdlib/array/float64' );
-var randu = require( '@stdlib/random/base/randu' );
+var uniform = require( '@stdlib/random/array/uniform' );
 var isnan = require( '@stdlib/math/base/assert/is-nan' );
-var EPS = require( '@stdlib/constants/float64/eps' );
 var tryRequire = require( '@stdlib/utils/try-require' );
+var EPS = require( '@stdlib/constants/float64/eps' );
+var format = require( '@stdlib/string/format' );
 var pkg = require( './../package.json' ).name;
 
 
@@ -43,18 +42,18 @@ var opts = {
 
 bench( format( '%s::native', pkg ), opts, function benchmark( b ) {
 	var sigma;
+	var uopts;
 	var len;
 	var x;
 	var y;
 	var i;
 
 	len = 100;
-	sigma = new Float64Array( len );
-	x = new Float64Array( len );
-	for ( i = 0; i < len; i++ ) {
-		x[ i ] = randu() * 10.0;
-		sigma[ i ] = ( randu() * 10.0 ) + EPS;
-	}
+	uopts = {
+		'dtype': 'float64'
+	};
+	x = uniform( len, 0.0, 10.0, uopts );
+	sigma = uniform( len, EPS, 10.0, uopts );
 
 	b.tic();
 	for ( i = 0; i < b.iterations; i++ ) {