docs: update namespace table of contents

PR-URL: #12141
Reviewed-by: Athan Reines <kgryte@gmail.com>

Author: stdlib-bot

lib/node_modules/@stdlib/blas/ext/base/README.md

@@ -44,6 +44,7 @@ var o = ns;
 <div class="namespace-toc">
 
 -   <span class="signature">[`cfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/cfill]</span><span class="delimiter">: </span><span class="description">fill a single-precision complex floating-point strided array with a specified scalar constant.</span>
+-   <span class="signature">[`cindexOfColumn( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/cindex-of-column]</span><span class="delimiter">: </span><span class="description">return the index of the first column in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
 -   <span class="signature">[`cindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/cindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
 -   <span class="signature">[`cindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/cindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a specified search element in a single-precision complex floating-point strided array.</span>
 -   <span class="signature">[`clastIndexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/clast-index-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the last row in a single-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
@@ -233,6 +234,7 @@ var o = ns;
 -   <span class="signature">[`szeroTo( N, x, strideX )`][@stdlib/blas/ext/base/szero-to]</span><span class="delimiter">: </span><span class="description">fill a single-precision floating-point strided array with linearly spaced numeric elements which increment by `1` starting from zero.</span>
 -   <span class="signature">[`wasm`][@stdlib/blas/ext/base/wasm]</span><span class="delimiter">: </span><span class="description">extensions to basic linear algebra subprograms (BLAS) compiled to WebAssembly.</span>
 -   <span class="signature">[`zfill( N, alpha, x, strideX )`][@stdlib/blas/ext/base/zfill]</span><span class="delimiter">: </span><span class="description">fill a double-precision complex floating-point strided array with a specified scalar constant.</span>
+-   <span class="signature">[`zindexOfColumn( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zindex-of-column]</span><span class="delimiter">: </span><span class="description">return the index of the first column in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
 -   <span class="signature">[`zindexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zindex-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the first row in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
 -   <span class="signature">[`zindexOf( N, searchElement, x, strideX )`][@stdlib/blas/ext/base/zindex-of]</span><span class="delimiter">: </span><span class="description">return the first index of a specified search element in a double-precision complex floating-point strided array.</span>
 -   <span class="signature">[`zlastIndexOfRow( order, M, N, A, LDA, x, strideX, workspace, strideW )`][@stdlib/blas/ext/base/zlast-index-of-row]</span><span class="delimiter">: </span><span class="description">return the index of the last row in a double-precision complex floating-point input matrix which has the same elements as a provided search vector.</span>
@@ -295,6 +297,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/cfill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/cfill
 
+[@stdlib/blas/ext/base/cindex-of-column]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/cindex-of-column
+
 [@stdlib/blas/ext/base/cindex-of-row]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/cindex-of-row
 
 [@stdlib/blas/ext/base/cindex-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/cindex-of
@@ -673,6 +677,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/blas/ext/base/zfill]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zfill
 
+[@stdlib/blas/ext/base/zindex-of-column]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zindex-of-column
+
 [@stdlib/blas/ext/base/zindex-of-row]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zindex-of-row
 
 [@stdlib/blas/ext/base/zindex-of]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/zindex-of

lib/node_modules/@stdlib/ndarray/README.md

@@ -56,6 +56,7 @@ The namespace exports the following functions to create multidimensional arrays:
 -   <span class="signature">[`scalar2ndarrayLike( x, value[, options] )`][@stdlib/ndarray/from-scalar-like]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray having the same data-type as a provided ndarray.</span>
 -   <span class="signature">[`scalar2ndarray( value[, options] )`][@stdlib/ndarray/from-scalar]</span><span class="delimiter">: </span><span class="description">convert a scalar value to a zero-dimensional ndarray.</span>
 -   <span class="signature">[`nansLike( x[, options] )`][@stdlib/ndarray/nans-like]</span><span class="delimiter">: </span><span class="description">create a NaN-filled ndarray having the same shape and data type as a provided ndarray.</span>
+-   <span class="signature">[`nans( shape[, options] )`][@stdlib/ndarray/nans]</span><span class="delimiter">: </span><span class="description">create a NaN-filled ndarray having a specified shape and data type.</span>
 -   <span class="signature">[`ndarraylike2ndarray( x[, options] )`][@stdlib/ndarray/ndarraylike2ndarray]</span><span class="delimiter">: </span><span class="description">convert an ndarray-like object to an `ndarray`.</span>
 -   <span class="signature">[`onesLike( x[, options] )`][@stdlib/ndarray/ones-like]</span><span class="delimiter">: </span><span class="description">create a ones-filled ndarray having the same shape and data type as a provided ndarray.</span>
 -   <span class="signature">[`ones( shape[, options] )`][@stdlib/ndarray/ones]</span><span class="delimiter">: </span><span class="description">create a ones-filled ndarray having a specified shape and data type.</span>
@@ -571,6 +572,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/nans-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/nans-like
 
+[@stdlib/ndarray/nans]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/nans
+
 [@stdlib/ndarray/ndarraylike2ndarray]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ndarraylike2ndarray
 
 [@stdlib/ndarray/ones-like]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/ones-like

lib/node_modules/@stdlib/stats/base/dists/discrete-uniform/README.md

@@ -46,7 +46,7 @@ The namespace contains the following distribution functions:
 <div class="namespace-toc">
 
 -   <span class="signature">[`cdf( x, a, b )`][@stdlib/stats/base/dists/discrete-uniform/cdf]</span><span class="delimiter">: </span><span class="description">discrete uniform distribution cumulative distribution function.</span>
--   <span class="signature">[`logcdf( x, a, b )`][@stdlib/stats/base/dists/discrete-uniform/logcdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the cumulative distribution function for a discrete uniform distribution.</span>
+-   <span class="signature">[`logcdf( x, a, b )`][@stdlib/stats/base/dists/discrete-uniform/logcdf]</span><span class="delimiter">: </span><span class="description">discrete uniform distribution logarithm of cumulative distribution function.</span>
 -   <span class="signature">[`logpmf( x, a, b )`][@stdlib/stats/base/dists/discrete-uniform/logpmf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the probability mass function (PMF) for a discrete uniform distribution.</span>
 -   <span class="signature">[`mgf( t, a, b )`][@stdlib/stats/base/dists/discrete-uniform/mgf]</span><span class="delimiter">: </span><span class="description">discrete uniform distribution moment-generating function (MGF).</span>
 -   <span class="signature">[`pmf( x, a, b )`][@stdlib/stats/base/dists/discrete-uniform/pmf]</span><span class="delimiter">: </span><span class="description">discrete uniform distribution probability mass function (PMF).</span>

lib/node_modules/@stdlib/stats/base/dists/exponential/README.md

@@ -46,7 +46,7 @@ The namespace contains the following distribution functions:
 <div class="namespace-toc">
 
 -   <span class="signature">[`cdf( x, lambda )`][@stdlib/stats/base/dists/exponential/cdf]</span><span class="delimiter">: </span><span class="description">exponential distribution cumulative distribution function.</span>
--   <span class="signature">[`logcdf( x, lambda )`][@stdlib/stats/base/dists/exponential/logcdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the cumulative distribution function for an exponential distribution.</span>
+-   <span class="signature">[`logcdf( x, lambda )`][@stdlib/stats/base/dists/exponential/logcdf]</span><span class="delimiter">: </span><span class="description">exponential distribution logarithm of cumulative distribution function.</span>
 -   <span class="signature">[`logpdf( x, lambda )`][@stdlib/stats/base/dists/exponential/logpdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the probability density function (PDF) for an exponential distribution.</span>
 -   <span class="signature">[`mgf( t, lambda )`][@stdlib/stats/base/dists/exponential/mgf]</span><span class="delimiter">: </span><span class="description">exponential distribution moment-generating function (MGF).</span>
 -   <span class="signature">[`pdf( x, lambda )`][@stdlib/stats/base/dists/exponential/pdf]</span><span class="delimiter">: </span><span class="description">exponential distribution probability density function (PDF).</span>

lib/node_modules/@stdlib/stats/base/dists/pareto-type1/README.md

@@ -46,7 +46,7 @@ The namespace contains the following distribution functions:
 <div class="namespace-toc">
 
 -   <span class="signature">[`cdf( x, alpha, beta )`][@stdlib/stats/base/dists/pareto-type1/cdf]</span><span class="delimiter">: </span><span class="description">Pareto (Type I) distribution cumulative distribution function.</span>
--   <span class="signature">[`logcdf( x, alpha, beta )`][@stdlib/stats/base/dists/pareto-type1/logcdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the cumulative distribution function for a Pareto (Type I) distribution.</span>
+-   <span class="signature">[`logcdf( x, alpha, beta )`][@stdlib/stats/base/dists/pareto-type1/logcdf]</span><span class="delimiter">: </span><span class="description">Pareto (Type I) distribution logarithm of cumulative distribution function.</span>
 -   <span class="signature">[`logpdf( x, alpha, beta )`][@stdlib/stats/base/dists/pareto-type1/logpdf]</span><span class="delimiter">: </span><span class="description">evaluate the natural logarithm of the probability density function (PDF) for a Pareto (Type I) distribution.</span>
 -   <span class="signature">[`pdf( x, alpha, beta )`][@stdlib/stats/base/dists/pareto-type1/pdf]</span><span class="delimiter">: </span><span class="description">Pareto (Type I) distribution probability density function (PDF).</span>
 -   <span class="signature">[`quantile( p, alpha, beta )`][@stdlib/stats/base/dists/pareto-type1/quantile]</span><span class="delimiter">: </span><span class="description">Pareto (Type I) distribution quantile function.</span>