diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md index 2985b2121bff..904cfc5c3d73 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -67,25 +67,12 @@ The namespace contains the following statistical functions: - [`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]: calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm. - [`dvarm( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarm]: calculate the variance of a double-precision floating-point strided array provided a known mean. - [`dvarmpn( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarmpn]: calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm. -- [`maxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/max-by]: calculate the maximum value of a strided array via a callback function. -- [`max( N, x, strideX )`][@stdlib/stats/strided/max]: calculate the maximum value of a strided array. -- [`maxabs( N, x, strideX )`][@stdlib/stats/strided/maxabs]: calculate the maximum absolute value of a strided array. -- [`maxsorted( N, x, strideX )`][@stdlib/stats/strided/maxsorted]: calculate the maximum value of a sorted strided array. -- [`mean( N, x, strideX )`][@stdlib/stats/strided/mean]: calculate the arithmetic mean of a strided array. - [`meankbn( N, x, stride )`][@stdlib/stats/base/meankbn]: calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm. - [`meankbn2( N, x, stride )`][@stdlib/stats/base/meankbn2]: calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm. - [`meanors( N, x, stride )`][@stdlib/stats/base/meanors]: calculate the arithmetic mean of a strided array using ordinary recursive summation. - [`meanpn( N, x, strideX )`][@stdlib/stats/base/meanpn]: calculate the arithmetic mean of a strided array using a two-pass error correction algorithm. - [`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]: calculate the arithmetic mean of a strided array using pairwise summation. - [`meanwd( N, x, strideX )`][@stdlib/stats/base/meanwd]: calculate the arithmetic mean of a strided array using Welford's algorithm. -- [`mediansorted( N, x, strideX )`][@stdlib/stats/strided/mediansorted]: calculate the median value of a sorted strided array. -- [`minBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/min-by]: calculate the minimum value of a strided array via a callback function. -- [`min( N, x, strideX )`][@stdlib/stats/strided/min]: calculate the minimum value of a strided array. -- [`minabs( N, x, strideX )`][@stdlib/stats/strided/minabs]: calculate the minimum absolute value of a strided array. -- [`minsorted( N, x, strideX )`][@stdlib/stats/strided/minsorted]: calculate the minimum value of a sorted strided array. -- [`mskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmax]: calculate the maximum value of a strided array according to a mask. -- [`mskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmin]: calculate the minimum value of a strided array according to a mask. -- [`mskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskrange]: calculate the range of a strided array according to a mask. - [`nanmaxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/base/nanmax-by]: calculate the maximum value of a strided array via a callback function, ignoring `NaN` values. - [`nanmax( N, x, strideX )`][@stdlib/stats/base/nanmax]: calculate the maximum value of a strided array, ignoring `NaN` values. - [`nanmaxabs( N, x, strideX )`][@stdlib/stats/base/nanmaxabs]: calculate the maximum absolute value of a strided array, ignoring `NaN` values. @@ -220,16 +207,6 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/dvarmpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dvarmpn -[@stdlib/stats/strided/max-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/max-by - -[@stdlib/stats/strided/max]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/max - -[@stdlib/stats/strided/maxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/maxabs - -[@stdlib/stats/strided/maxsorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/maxsorted - -[@stdlib/stats/strided/mean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mean - [@stdlib/stats/base/meankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meankbn [@stdlib/stats/base/meankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meankbn2 @@ -242,22 +219,6 @@ 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/mediansorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mediansorted - -[@stdlib/stats/strided/min-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/min-by - -[@stdlib/stats/strided/min]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/min - -[@stdlib/stats/strided/minabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/minabs - -[@stdlib/stats/strided/minsorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/minsorted - -[@stdlib/stats/strided/mskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mskmax - -[@stdlib/stats/strided/mskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mskmin - -[@stdlib/stats/strided/mskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mskrange - [@stdlib/stats/base/nanmax-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmax-by [@stdlib/stats/base/nanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmax