From 218125667d71c692926bbbd65cc862b29109cdc6 Mon Sep 17 00:00:00 2001
From: Planeshifter <1913638+Planeshifter@users.noreply.github.com>
Date: Fri, 9 May 2025 02:45:24 +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 fd743246d5ce..39799da50934 100644
--- a/lib/node_modules/@stdlib/stats/base/README.md
+++ b/lib/node_modules/@stdlib/stats/base/README.md
@@ -149,7 +149,7 @@ The namespace contains the following statistical functions:
- [`snanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/snanvariancetk]: calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.
- [`snanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/snanvariancewd]: calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.
- [`snanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/snanvarianceyc]: calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.
-- [`sstdev( N, correction, x, stride )`][@stdlib/stats/base/sstdev]: calculate the standard deviation of a single-precision floating-point strided array.
+- [`sstdev( N, correction, x, strideX )`][@stdlib/stats/base/sstdev]: calculate the standard deviation of a single-precision floating-point strided array.
- [`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]: calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.
- [`stdev( N, correction, x, stride )`][@stdlib/stats/base/stdev]: calculate the standard deviation of a strided array.
- [`stdevch( N, correction, x, stride )`][@stdlib/stats/base/stdevch]: calculate the standard deviation of a strided array using a one-pass trial mean algorithm.