diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md
index 0cb767a43f4b..cd8ad5f9e320 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -73,16 +73,10 @@ The namespace contains the following statistical functions:
 -   <span class="signature">[`meanpn( N, x, strideX )`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
 -   <span class="signature">[`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using pairwise summation.</span>
 -   <span class="signature">[`meanwd( N, x, strideX )`][@stdlib/stats/base/meanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
--   <span class="signature">[`nanmaxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/nanmax-by]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array via a callback function, ignoring `NaN` values.</span>
--   <span class="signature">[`nanmax( N, x, strideX )`][@stdlib/stats/strided/nanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array, ignoring `NaN` values.</span>
--   <span class="signature">[`nanmaxabs( N, x, strideX )`][@stdlib/stats/strided/nanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmean( N, x, stride )`][@stdlib/stats/base/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values.</span>
 -   <span class="signature">[`nanmeanors( N, x, stride )`][@stdlib/stats/base/nanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
 -   <span class="signature">[`nanmeanpn( N, x, strideX )`][@stdlib/stats/base/nanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
 -   <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, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/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/strided/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, strideX )`][@stdlib/stats/strided/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>
@@ -219,12 +213,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/meanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanwd
 
-[@stdlib/stats/strided/nanmax-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmax-by
-
-[@stdlib/stats/strided/nanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmax
-
-[@stdlib/stats/strided/nanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmaxabs
-
 [@stdlib/stats/base/nanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmean
 
 [@stdlib/stats/base/nanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanors
@@ -233,12 +221,6 @@ console.log( objectKeys( ns ) );
 
 [@stdlib/stats/base/nanmeanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmeanwd
 
-[@stdlib/stats/strided/nanmin-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmin-by
-
-[@stdlib/stats/strided/nanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmin
-
-[@stdlib/stats/strided/nanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanminabs
-
 [@stdlib/stats/base/nanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmskmax
 
 [@stdlib/stats/base/nanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmskmin