docs: update namespace table of contents

PR-URL: #6719
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/math/base/special/README.md

@@ -154,7 +154,7 @@ var fcns = special;
 -   <span class="signature">[`cabs2f( z )`][@stdlib/math/base/special/cabs2f]</span><span class="delimiter">: </span><span class="description">compute the squared absolute value of a single-precision complex floating-point number.</span>
 -   <span class="signature">[`cabsf( z )`][@stdlib/math/base/special/cabsf]</span><span class="delimiter">: </span><span class="description">compute the absolute value of a single-precision complex floating-point number.</span>
 -   <span class="signature">[`cceil( z )`][@stdlib/math/base/special/cceil]</span><span class="delimiter">: </span><span class="description">round each component of a double-precision complex floating-point number toward positive infinity.</span>
--   <span class="signature">[`cceilf( z )`][@stdlib/math/base/special/cceilf]</span><span class="delimiter">: </span><span class="description">round a single-precision complex floating-point number toward positive infinity.</span>
+-   <span class="signature">[`cceilf( z )`][@stdlib/math/base/special/cceilf]</span><span class="delimiter">: </span><span class="description">round each component of a single-precision complex floating-point number toward positive infinity.</span>
 -   <span class="signature">[`cceiln( z, n )`][@stdlib/math/base/special/cceiln]</span><span class="delimiter">: </span><span class="description">round each component of a double-precision complex floating-point number to the nearest multiple of `10^n` toward positive infinity.</span>
 -   <span class="signature">[`ceil( x )`][@stdlib/math/base/special/ceil]</span><span class="delimiter">: </span><span class="description">round a double-precision floating-point number toward positive infinity.</span>
 -   <span class="signature">[`ceil10( x )`][@stdlib/math/base/special/ceil10]</span><span class="delimiter">: </span><span class="description">round a numeric value to the nearest power of 10 toward positive infinity.</span>

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

@@ -61,7 +61,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`cumaxabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumaxabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative maximum absolute value of a strided array.</span>
 -   <span class="signature">[`cumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumin]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum of a strided array.</span>
 -   <span class="signature">[`cuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cuminabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum absolute value of a strided array.</span>
--   <span class="signature">[`dmean( N, x, stride )`][@stdlib/stats/base/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
+-   <span class="signature">[`dmean( N, x, strideX )`][@stdlib/stats/base/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmeanpn( N, x, strideX )`][@stdlib/stats/base/dmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`dmeanstdev( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdev]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array.</span>
 -   <span class="signature">[`dmeanstdevpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
@@ -122,6 +122,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`nanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/nanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`nanvariancewd( N, correction, x, strideX )`][@stdlib/stats/base/nanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`nanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/base/nanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
+-   <span class="signature">[`ndarray`][@stdlib/stats/base/ndarray]</span><span class="delimiter">: </span><span class="description">base ndarray statistical functions.</span>
 -   <span class="signature">[`rangeBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/range-by]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array via a callback function.</span>
 -   <span class="signature">[`range( N, x, stride )`][@stdlib/stats/base/range]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array.</span>
 -   <span class="signature">[`sdsnanmean( N, x, stride )`][@stdlib/stats/base/sdsnanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using extended accumulation.</span>
@@ -131,7 +132,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`smeankbn2( N, x, stride )`][@stdlib/stats/base/smeankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.</span>
 -   <span class="signature">[`smeanlipw( N, x, stride )`][@stdlib/stats/base/smeanlipw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
 -   <span class="signature">[`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
--   <span class="signature">[`smeanpn( N, x, stride )`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
+-   <span class="signature">[`smeanpn( N, x, strideX )`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
 -   <span class="signature">[`snanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
@@ -344,6 +345,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/nanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanvarianceyc
 
+[@stdlib/stats/base/ndarray]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray
+
 [@stdlib/stats/base/range-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/range-by
 
 [@stdlib/stats/base/range]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/range

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

@@ -43,6 +43,14 @@ The namespace exposes the following APIs:
 
 <!-- <toc pattern="*"> -->
 
+<div class="namespace-toc">
+
+-   <span class="signature">[`dmax( arrays )`][@stdlib/stats/base/ndarray/dmax]</span><span class="delimiter">: </span><span class="description">compute the maximum value of a one-dimensional double-precision floating-point ndarray.</span>
+-   <span class="signature">[`max( arrays )`][@stdlib/stats/base/ndarray/max]</span><span class="delimiter">: </span><span class="description">compute the maximum value of a one-dimensional ndarray.</span>
+-   <span class="signature">[`smax( arrays )`][@stdlib/stats/base/ndarray/smax]</span><span class="delimiter">: </span><span class="description">compute the maximum value of a one-dimensional single-precision floating-point ndarray.</span>
+
+</div>
+
 <!-- </toc> -->
 
 </section>
@@ -80,6 +88,16 @@ console.log( objectKeys( ns ) );
 
 <section class="links">
 
+<!-- <toc-links> -->
+
+[@stdlib/stats/base/ndarray/dmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dmax
+
+[@stdlib/stats/base/ndarray/max]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/max
+
+[@stdlib/stats/base/ndarray/smax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/smax
+
+<!-- </toc-links> -->
+
 </section>
 
 <!-- /.links -->