diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md index 424d9bc92915..3ba4221733f6 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -67,11 +67,7 @@ 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. -- [`meanors( N, x, stride )`][@stdlib/stats/strided/meanors]: calculate the arithmetic mean of a strided array using ordinary recursive summation. -- [`meanpn( N, x, strideX )`][@stdlib/stats/strided/meanpn]: calculate the arithmetic mean of a strided array using a two-pass error correction algorithm. -- [`meanpw( N, x, stride )`][@stdlib/stats/strided/meanpw]: calculate the arithmetic mean of a strided array using pairwise summation. -- [`meanwd( N, x, strideX )`][@stdlib/stats/strided/meanwd]: calculate the arithmetic mean of a strided array using Welford's algorithm. -- [`nanmean( N, x, stride )`][@stdlib/stats/base/nanmean]: calculate the arithmetic mean of a strided array, ignoring `NaN` values. +- [`nanmean( N, x, strideX )`][@stdlib/stats/base/nanmean]: calculate the arithmetic mean of a strided array, ignoring `NaN` values. - [`nanmeanors( N, x, stride )`][@stdlib/stats/base/nanmeanors]: calculate the arithmetic mean of a strided array, ignoring `NaN` values and using ordinary recursive summation. - [`nanmeanpn( N, x, strideX )`][@stdlib/stats/base/nanmeanpn]: calculate the arithmetic mean of a strided array, ignoring `NaN` values and using a two-pass error correction algorithm. - [`nanmeanwd( N, x, stride )`][@stdlib/stats/base/nanmeanwd]: calculate the arithmetic mean of a strided array, ignoring `NaN` values and using Welford's algorithm. @@ -199,14 +195,6 @@ 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/meanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meanors - -[@stdlib/stats/strided/meanpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meanpn - -[@stdlib/stats/strided/meanpw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meanpw - -[@stdlib/stats/strided/meanwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/meanwd - [@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