From 5c5d89c4966aebabc28c6f2e43fc676723530679 Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Tue, 18 Feb 2025 02:36:20 +0000 Subject: [PATCH] docs: update namespace table of contents Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com> --- lib/node_modules/@stdlib/stats/base/README.md | 9 --------- 1 file changed, 9 deletions(-) diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md index 9aa45c478747..44c7eaacde0d 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -62,10 +62,7 @@ The namespace contains the following statistical functions: - [`cumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/cumin]: calculate the cumulative minimum of a strided array. - [`cuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/cuminabs]: calculate the cumulative minimum absolute value of a strided array. - [`dcumin( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcumin]: calculate the cumulative minimum of double-precision floating-point strided array elements. -- [`dmaxabssorted( N, x, strideX )`][@stdlib/stats/strided/dmaxabssorted]: calculate the maximum absolute value of a sorted double-precision floating-point strided array. -- [`dmaxsorted( N, x, strideX )`][@stdlib/stats/strided/dmaxsorted]: calculate the maximum value of a sorted double-precision floating-point strided array. - [`dmean( N, x, stride )`][@stdlib/stats/base/dmean]: calculate the arithmetic mean of a double-precision floating-point strided array. -- [`dmeankbn( N, x, strideX )`][@stdlib/stats/strided/dmeankbn]: calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm. - [`dmeankbn2( N, x, strideX )`][@stdlib/stats/base/dmeankbn2]: calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm. - [`dmeanli( N, x, strideX )`][@stdlib/stats/base/dmeanli]: calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm. - [`dmeanlipw( N, x, strideX )`][@stdlib/stats/base/dmeanlipw]: calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation. @@ -329,14 +326,8 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/dcumin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dcumin -[@stdlib/stats/strided/dmaxabssorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmaxabssorted - -[@stdlib/stats/strided/dmaxsorted]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmaxsorted - [@stdlib/stats/base/dmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmean -[@stdlib/stats/strided/dmeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeankbn - [@stdlib/stats/base/dmeankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeankbn2 [@stdlib/stats/base/dmeanli]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dmeanli