docs: update namespace table of contents

PR-URL: #7233
Reviewed-by: Athan Reines <[email protected]>

Author: stdlib-bot

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

@@ -78,6 +78,7 @@ var fcns = special;
 
 -   <span class="signature">[`acos( x )`][@stdlib/math/base/special/acos]</span><span class="delimiter">: </span><span class="description">compute the arccosine of a double-precision floating-point number.</span>
 -   <span class="signature">[`acosd( x )`][@stdlib/math/base/special/acosd]</span><span class="delimiter">: </span><span class="description">compute the arccosine in degrees of a double-precision floating-point number.</span>
+-   <span class="signature">[`acosdf( x )`][@stdlib/math/base/special/acosdf]</span><span class="delimiter">: </span><span class="description">compute the arccosine (in degrees) of a single-precision floating-point number.</span>
 -   <span class="signature">[`acosf( x )`][@stdlib/math/base/special/acosf]</span><span class="delimiter">: </span><span class="description">compute the arccosine of a single-precision floating-point number.</span>
 -   <span class="signature">[`acosh( x )`][@stdlib/math/base/special/acosh]</span><span class="delimiter">: </span><span class="description">compute the hyperbolic arccosine of a double-precision floating-point number.</span>
 -   <span class="signature">[`acovercos( x )`][@stdlib/math/base/special/acovercos]</span><span class="delimiter">: </span><span class="description">compute the inverse coversed cosine.</span>
@@ -212,6 +213,7 @@ var fcns = special;
 
 -   <span class="signature">[`acot( x )`][@stdlib/math/base/special/acot]</span><span class="delimiter">: </span><span class="description">compute the inverse cotangent of a double-precision floating-point number.</span>
 -   <span class="signature">[`acotd( x )`][@stdlib/math/base/special/acotd]</span><span class="delimiter">: </span><span class="description">compute the arccotangent in degrees of a double-precision floating-point number.</span>
+-   <span class="signature">[`acotdf( x )`][@stdlib/math/base/special/acotdf]</span><span class="delimiter">: </span><span class="description">compute the arccotangent in degrees of a single-precision floating-point number.</span>
 -   <span class="signature">[`acotf( x )`][@stdlib/math/base/special/acotf]</span><span class="delimiter">: </span><span class="description">compute the inverse cotangent of a single-precision floating-point number.</span>
 -   <span class="signature">[`acoth( x )`][@stdlib/math/base/special/acoth]</span><span class="delimiter">: </span><span class="description">compute the inverse hyperbolic cotangent of a double-precision floating-point number.</span>
 -   <span class="signature">[`acsc( x )`][@stdlib/math/base/special/acsc]</span><span class="delimiter">: </span><span class="description">compute the arccosecant of a number.</span>
@@ -243,6 +245,7 @@ var fcns = special;
 -   <span class="signature">[`cflipsign( z, y )`][@stdlib/math/base/special/cflipsign]</span><span class="delimiter">: </span><span class="description">return a double-precision complex floating-point number with the same magnitude as `z` and the sign of `y*z`.</span>
 -   <span class="signature">[`cflipsignf( z, y )`][@stdlib/math/base/special/cflipsignf]</span><span class="delimiter">: </span><span class="description">return a single-precision complex floating-point number with the same magnitude as `z` and the sign of `y*z`.</span>
 -   <span class="signature">[`cinv( z )`][@stdlib/math/base/special/cinv]</span><span class="delimiter">: </span><span class="description">compute the inverse of a double-precision complex floating-point number.</span>
+-   <span class="signature">[`cinvf( z )`][@stdlib/math/base/special/cinvf]</span><span class="delimiter">: </span><span class="description">compute the inverse of a single-precision complex floating-point number.</span>
 -   <span class="signature">[`copysign( x, y )`][@stdlib/math/base/special/copysign]</span><span class="delimiter">: </span><span class="description">return a double-precision floating-point number with the magnitude of `x` and the sign of `y`.</span>
 -   <span class="signature">[`copysignf( x, y )`][@stdlib/math/base/special/copysignf]</span><span class="delimiter">: </span><span class="description">return a single-precision floating-point number with the magnitude of `x` and the sign of `y`.</span>
 -   <span class="signature">[`cot( x )`][@stdlib/math/base/special/cot]</span><span class="delimiter">: </span><span class="description">evaluate the cotangent of a number.</span>
@@ -416,6 +419,8 @@ console.log( objectKeys( special ) );
 
 [@stdlib/math/base/special/acotd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acotd
 
+[@stdlib/math/base/special/acotdf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acotdf
+
 [@stdlib/math/base/special/acotf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acotf
 
 [@stdlib/math/base/special/acoth]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acoth
@@ -478,6 +483,8 @@ console.log( objectKeys( special ) );
 
 [@stdlib/math/base/special/cinv]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/cinv
 
+[@stdlib/math/base/special/cinvf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/cinvf
+
 [@stdlib/math/base/special/copysign]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/copysign
 
 [@stdlib/math/base/special/copysignf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/copysignf
@@ -766,6 +773,8 @@ console.log( objectKeys( special ) );
 
 [@stdlib/math/base/special/acosd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acosd
 
+[@stdlib/math/base/special/acosdf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acosdf
+
 [@stdlib/math/base/special/acosf]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acosf
 
 [@stdlib/math/base/special/acosh]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/math/base/special/acosh

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

@@ -154,6 +154,7 @@ var o = ns;
 -   <span class="signature">[`unaryInputCastingDataType( idtype, odtype, policy )`][@stdlib/ndarray/base/unary-input-casting-dtype]</span><span class="delimiter">: </span><span class="description">resolve the input ndarray casting data type for a unary function.</span>
 -   <span class="signature">[`unaryLoopOrder( shape, stridesX, stridesY )`][@stdlib/ndarray/base/unary-loop-interchange-order]</span><span class="delimiter">: </span><span class="description">reorder ndarray dimensions and associated strides for loop interchange.</span>
 -   <span class="signature">[`unaryOutputDataType( dtype, policy )`][@stdlib/ndarray/base/unary-output-dtype]</span><span class="delimiter">: </span><span class="description">resolve the output ndarray data type for a unary function.</span>
+-   <span class="signature">[`unaryReduceStrided1dBy( fcn, arrays, dims[, options], clbk[, thisArg] )`][@stdlib/ndarray/base/unary-reduce-strided1d-by]</span><span class="delimiter">: </span><span class="description">perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function accepting a callback and assign results to a provided output ndarray.</span>
 -   <span class="signature">[`unaryReduceStrided1dDispatchFactory( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory]</span><span class="delimiter">: </span><span class="description">create a function for performing a reduction on an input ndarray.</span>
 -   <span class="signature">[`unaryReduceStrided1dDispatch( table, idtypes, odtypes, policies )`][@stdlib/ndarray/base/unary-reduce-strided1d-dispatch]</span><span class="delimiter">: </span><span class="description">constructor for performing a reduction on an input ndarray.</span>
 -   <span class="signature">[`unaryReduceStrided1d( fcn, arrays, dims[, options] )`][@stdlib/ndarray/base/unary-reduce-strided1d]</span><span class="delimiter">: </span><span class="description">perform a reduction over a list of specified dimensions in an input ndarray via a one-dimensional strided array reduction function and assign results to a provided output ndarray.</span>
@@ -446,6 +447,8 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/ndarray/base/unary-output-dtype]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-output-dtype
 
+[@stdlib/ndarray/base/unary-reduce-strided1d-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-by
+
 [@stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch-factory
 
 [@stdlib/ndarray/base/unary-reduce-strided1d-dispatch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/ndarray/base/unary-reduce-strided1d-dispatch

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

@@ -68,8 +68,11 @@ The namespace exports the following:
 -   <span class="signature">[`mskmax( x, mask )`][@stdlib/stats/array/mskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of an array according to a mask.</span>
 -   <span class="signature">[`mskmin( x, mask )`][@stdlib/stats/array/mskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of an array according to a mask.</span>
 -   <span class="signature">[`mskrange( x, mask )`][@stdlib/stats/array/mskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of an array according to a mask.</span>
+-   <span class="signature">[`nanmaxBy( x, clbk[, thisArg] )`][@stdlib/stats/array/nanmax-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of an array via a callback function, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmax( x )`][@stdlib/stats/array/nanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of an array, ignoring `NaN` values.</span>
+-   <span class="signature">[`nanmaxabs( x )`][@stdlib/stats/array/nanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of an array, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmin( x )`][@stdlib/stats/array/nanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of an array, ignoring `NaN` values.</span>
+-   <span class="signature">[`nanrange( x )`][@stdlib/stats/array/nanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of an array, ignoring `NaN` values.</span>
 -   <span class="signature">[`varianceyc( x[, correction] )`][@stdlib/stats/array/varianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of an array using a one-pass algorithm proposed by Youngs and Cramer.</span>
 
 </div>
@@ -149,10 +152,16 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/array/mskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/array/mskrange
 
+[@stdlib/stats/array/nanmax-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/array/nanmax-by
+
 [@stdlib/stats/array/nanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/array/nanmax
 
+[@stdlib/stats/array/nanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/array/nanmaxabs
+
 [@stdlib/stats/array/nanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/array/nanmin
 
+[@stdlib/stats/array/nanrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/array/nanrange
+
 [@stdlib/stats/array/varianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/array/varianceyc
 
 <!-- </toc-links> -->

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

@@ -61,7 +61,6 @@ 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">[`dmeanpn( N, x, strideX )`][@stdlib/stats/strided/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>
 -   <span class="signature">[`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
@@ -103,7 +102,7 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`nanmeanwd( N, x, stride )`][@stdlib/stats/base/nanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using Welford's algorithm.</span>
 -   <span class="signature">[`nanminBy( N, x, stride, clbk[, thisArg] )`][@stdlib/stats/base/nanmin-by]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array via a callback function, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmin( N, x, strideX )`][@stdlib/stats/base/nanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array, ignoring `NaN` values.</span>
--   <span class="signature">[`nanminabs( N, x, stride )`][@stdlib/stats/base/nanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array, ignoring `NaN` values.</span>
+-   <span class="signature">[`nanminabs( N, x, strideX )`][@stdlib/stats/base/nanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/nanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask, ignoring `NaN` values.</span>
@@ -222,8 +221,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/cuminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/cuminabs
 
-[@stdlib/stats/strided/dmeanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeanpn
-
 [@stdlib/stats/base/dmeanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanstdev
 
 [@stdlib/stats/base/dmeanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanstdevpn