docs: update namespace table of contents

PR-URL: #7283

Reviewed-by: Philipp Burckhardt <[email protected]>
Signed-off-by: stdlib-bot <[email protected]>

Author: stdlib-bot

lib/node_modules/@stdlib/number/uint32/base/README.md

@@ -43,9 +43,13 @@ var o = ns;
 
 <div class="namespace-toc">
 
+-   <span class="signature">[`add( x, y )`][@stdlib/number/uint32/base/add]</span><span class="delimiter">: </span><span class="description">compute the sum of two unsigned 32-bit integers.</span>
 -   <span class="signature">[`fromBinaryStringUint32( bstr )`][@stdlib/number/uint32/base/from-binary-string]</span><span class="delimiter">: </span><span class="description">create an unsigned 32-bit integer from a literal bit representation.</span>
+-   <span class="signature">[`mul( x, y )`][@stdlib/number/uint32/base/mul]</span><span class="delimiter">: </span><span class="description">multiply two unsigned 32-bit integers.</span>
+-   <span class="signature">[`muldw( a, b )`][@stdlib/number/uint32/base/muldw]</span><span class="delimiter">: </span><span class="description">compute the double word product of two unsigned 32-bit integers.</span>
 -   <span class="signature">[`rotl32( x, shift )`][@stdlib/number/uint32/base/rotl]</span><span class="delimiter">: </span><span class="description">bitwise rotation to the left.</span>
 -   <span class="signature">[`rotr32( x, shift )`][@stdlib/number/uint32/base/rotr]</span><span class="delimiter">: </span><span class="description">bitwise rotation to the right.</span>
+-   <span class="signature">[`sub( x, y )`][@stdlib/number/uint32/base/sub]</span><span class="delimiter">: </span><span class="description">subtract two unsigned 32-bit integers.</span>
 -   <span class="signature">[`toBinaryStringUint32( x )`][@stdlib/number/uint32/base/to-binary-string]</span><span class="delimiter">: </span><span class="description">return a string giving the literal bit representation of an unsigned 32-bit integer.</span>
 -   <span class="signature">[`uint32ToInt32( x )`][@stdlib/number/uint32/base/to-int32]</span><span class="delimiter">: </span><span class="description">convert an unsigned 32-bit integer to a signed 32-bit integer.</span>
 
@@ -90,12 +94,20 @@ console.log( objectKeys( ns ) );
 
 <!-- <toc-links> -->
 
+[@stdlib/number/uint32/base/add]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/add
+
 [@stdlib/number/uint32/base/from-binary-string]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/from-binary-string
 
+[@stdlib/number/uint32/base/mul]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/mul
+
+[@stdlib/number/uint32/base/muldw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/muldw
+
 [@stdlib/number/uint32/base/rotl]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/rotl
 
 [@stdlib/number/uint32/base/rotr]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/rotr
 
+[@stdlib/number/uint32/base/sub]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/sub
+
 [@stdlib/number/uint32/base/to-binary-string]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/to-binary-string
 
 [@stdlib/number/uint32/base/to-int32]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/number/uint32/base/to-int32

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

@@ -118,12 +118,10 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`range( N, x, strideX )`][@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>
 -   <span class="signature">[`sdsnanmeanors( N, x, stride )`][@stdlib/stats/base/sdsnanmeanors]</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 ordinary recursive summation with extended accumulation.</span>
--   <span class="signature">[`smean( N, x, strideX )`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
 -   <span class="signature">[`smeankbn( N, x, stride )`][@stdlib/stats/base/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
 -   <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, strideX )`][@stdlib/stats/strided/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">[`snanstdev( N, correction, x, stride )`][@stdlib/stats/base/snanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values.</span>
 -   <span class="signature">[`snanstdevch( N, correction, x, stride )`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
@@ -137,7 +135,6 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`snanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/snanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
 -   <span class="signature">[`snanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`snanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/snanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
--   <span class="signature">[`sstdev( N, correction, x, strideX )`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
 -   <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`stdev( N, correction, x, stride )`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
 -   <span class="signature">[`stdevch( N, correction, x, stride )`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
@@ -146,7 +143,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`stdevwd( N, correction, x, stride )`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
 -   <span class="signature">[`stdevyc( N, correction, x, stride )`][@stdlib/stats/base/stdevyc]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass algorithm proposed by Youngs and Cramer.</span>
 -   <span class="signature">[`svariance( N, correction, x, stride )`][@stdlib/stats/base/svariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array.</span>
--   <span class="signature">[`svariancewd( N, correction, x, stride )`][@stdlib/stats/base/svariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using Welford's algorithm.</span>
+-   <span class="signature">[`svariancewd( N, correction, x, strideX )`][@stdlib/stats/base/svariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using Welford's algorithm.</span>
 -   <span class="signature">[`variance( N, correction, x, stride )`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
 -   <span class="signature">[`variancech( N, correction, x, stride )`][@stdlib/stats/base/variancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a one-pass trial mean algorithm.</span>
 -   <span class="signature">[`variancepn( N, correction, x, stride )`][@stdlib/stats/base/variancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array using a two-pass algorithm.</span>
@@ -325,8 +322,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/sdsnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sdsnanmeanors
 
-[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
-
 [@stdlib/stats/base/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeankbn
 
 [@stdlib/stats/base/smeankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeankbn2
@@ -335,8 +330,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/smeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeanors
 
-[@stdlib/stats/strided/smeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smeanpn
-
 [@stdlib/stats/base/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
 
 [@stdlib/stats/base/snanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdev
@@ -363,8 +356,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/snanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvarianceyc
 
-[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
-
 [@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
 
 [@stdlib/stats/base/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdev