From 968ea4ac721233723b83c69125e625361daefa33 Mon Sep 17 00:00:00 2001 From: stdlib-bot Date: Mon, 20 Jan 2025 03:30:32 +0000 Subject: [PATCH] Auto-generated commit --- CHANGELOG.md | 1 + README.md | 6 +++--- 2 files changed, 4 insertions(+), 3 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index b808d62..557336f 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -8444,6 +8444,7 @@ A total of 25 people contributed to this release. Thank you to the following con
+- [`c33e77a`](https://github.com/stdlib-js/stdlib/commit/c33e77afcecf3ff1290791f4e521ad240b0500b7) - **docs:** update namespace table of contents [(#4819)](https://github.com/stdlib-js/stdlib/pull/4819) _(by stdlib-bot)_ - [`20b9402`](https://github.com/stdlib-js/stdlib/commit/20b940262ef8f8f01a640a481636808f5213e039) - **docs:** update namespace TypeScript declaration comments [(#4817)](https://github.com/stdlib-js/stdlib/pull/4817) _(by stdlib-bot)_ - [`4486641`](https://github.com/stdlib-js/stdlib/commit/44866418235df4d9f1e5ec38b918f53f1703b908) - **docs:** update related packages sections [(#4816)](https://github.com/stdlib-js/stdlib/pull/4816) _(by stdlib-bot)_ - [`895313e`](https://github.com/stdlib-js/stdlib/commit/895313e08f1006053fd6d995494bdf546002694e) - **docs:** update descriptions _(by Athan Reines)_ diff --git a/README.md b/README.md index 78821b5..94aa8b6 100644 --- a/README.md +++ b/README.md @@ -127,7 +127,7 @@ The namespace contains the following statistical functions: - [`dnanmean( N, x, stride )`][@stdlib/stats/base/dnanmean]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanmeanors( N, x, stride )`][@stdlib/stats/base/dnanmeanors]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation. - [`dnanmeanpn( N, x, stride )`][@stdlib/stats/base/dnanmeanpn]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm. -- [`dnanmeanpw( N, x, stride )`][@stdlib/stats/base/dnanmeanpw]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation. +- [`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation. - [`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]: calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values. - [`dnanmin( N, x, strideX )`][@stdlib/stats/base/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanminabs( N, x, strideX )`][@stdlib/stats/base/dnanminabs]: calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values. @@ -157,7 +157,7 @@ The namespace contains the following statistical functions: - [`dsmean( N, x, stride )`][@stdlib/stats/base/dsmean]: calculate the arithmetic mean of a single-precision floating-point strided array using extended accumulation and returning an extended precision result. - [`dsmeanors( N, x, strideX )`][@stdlib/stats/base/dsmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation with extended accumulation and returning an extended precision result. - [`dsmeanpn( N, x, strideX )`][@stdlib/stats/base/dsmeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm with extended accumulation and returning an extended precision result. -- [`dsmeanpw( N, x, stride )`][@stdlib/stats/base/dsmeanpw]: calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result. +- [`dsmeanpw( N, x, strideX )`][@stdlib/stats/base/dsmeanpw]: calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation with extended accumulation and returning an extended precision result. - [`dsmeanwd( N, x, strideX )`][@stdlib/stats/base/dsmeanwd]: calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm with extended accumulation and returning an extended precision result. - [`dsnanmean( N, x, stride )`][@stdlib/stats/base/dsnanmean]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using extended accumulation, and returning an extended precision result. - [`dsnanmeanors( N, x, stride )`][@stdlib/stats/base/dsnanmeanors]: calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values, using ordinary recursive summation with extended accumulation, and returning an extended precision result. @@ -243,7 +243,7 @@ The namespace contains the following statistical functions: - [`smean( N, x, stride )`][@stdlib/stats/base/smean]: calculate the arithmetic mean of a single-precision floating-point strided array. - [`smeankbn( N, x, stride )`][@stdlib/stats/base/smeankbn]: calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm. - [`smeankbn2( N, x, stride )`][@stdlib/stats/base/smeankbn2]: calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm. -- [`smeanli( N, x, stride )`][@stdlib/stats/base/smeanli]: calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm. +- [`smeanli( N, x, strideX )`][@stdlib/stats/base/smeanli]: calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm. - [`smeanlipw( N, x, stride )`][@stdlib/stats/base/smeanlipw]: calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation. - [`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]: calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation. - [`smeanpn( N, x, stride )`][@stdlib/stats/base/smeanpn]: calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.