From 01a7b0c955a5f5ec687a6e046e13782b590a30bf Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Mon, 17 Mar 2025 02:46:52 +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 | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/lib/node_modules/@stdlib/stats/base/README.md b/lib/node_modules/@stdlib/stats/base/README.md index 2ee98172684b..a88f1f9fa961 100644 --- a/lib/node_modules/@stdlib/stats/base/README.md +++ b/lib/node_modules/@stdlib/stats/base/README.md @@ -114,7 +114,7 @@ The namespace contains the following statistical functions: - [`dstdevtk( N, correction, x, strideX )`][@stdlib/stats/base/dstdevtk]: calculate the standard deviation of a double-precision floating-point strided array using a one-pass textbook algorithm. - [`dstdevwd( N, correction, x, strideX )`][@stdlib/stats/base/dstdevwd]: calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm. - [`dstdevyc( N, correction, x, strideX )`][@stdlib/stats/base/dstdevyc]: calculate the standard deviation of a double-precision floating-point strided array using a one-pass algorithm proposed by Youngs and Cramer. -- [`dsvariance( N, correction, x, stride )`][@stdlib/stats/base/dsvariance]: calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result. +- [`dsvariance( N, correction, x, strideX )`][@stdlib/stats/base/dsvariance]: calculate the variance of a single-precision floating-point strided array using extended accumulation and returning an extended precision result. - [`dsvariancepn( N, correction, x, strideX )`][@stdlib/stats/base/dsvariancepn]: calculate the variance of a single-precision floating-point strided array using a two-pass algorithm with extended accumulation and returning an extended precision result. - [`dvariance( N, correction, x, strideX )`][@stdlib/stats/base/dvariance]: calculate the variance of a double-precision floating-point strided array. - [`dvariancech( N, correction, x, strideX )`][@stdlib/stats/base/dvariancech]: calculate the variance of a double-precision floating-point strided array using a one-pass trial mean algorithm.