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.