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CHANGELOG.md

@@ -34,6 +34,7 @@
 
 <details>
 
+-   [`6b175bb`](/~https://github.com/stdlib-js/stdlib/commit/6b175bb24511e22562ec90f20e8388eec791093c) - **docs:** update REPL namespace documentation [(#5402)](/~https://github.com/stdlib-js/stdlib/pull/5402) _(by stdlib-bot)_
 -   [`29a7783`](/~https://github.com/stdlib-js/stdlib/commit/29a77831faaa86ca3512d0a1248e06a5f3653e7c) - **docs:** update REPL namespace documentation [(#5386)](/~https://github.com/stdlib-js/stdlib/pull/5386) _(by stdlib-bot)_
 -   [`0625d8e`](/~https://github.com/stdlib-js/stdlib/commit/0625d8e45c3f5ad868b15c0999e4c1da32326dd7) - **docs:** update REPL namespace documentation [(#5365)](/~https://github.com/stdlib-js/stdlib/pull/5365) _(by stdlib-bot, Philipp Burckhardt)_
 -   [`5831b72`](/~https://github.com/stdlib-js/stdlib/commit/5831b728172f2f0d09cbb08b1138823692ad54e6) - **docs:** update REPL namespace documentation [(#5331)](/~https://github.com/stdlib-js/stdlib/pull/5331) _(by stdlib-bot)_

data/data.csv

@@ -1876,8 +1876,8 @@ base.strided.dnansumpw,"\nbase.strided.dnansumpw( N:integer, x:Float64Array, str
 base.strided.dnansumpw.ndarray,"\nbase.strided.dnansumpw.ndarray( N:integer, x:Float64Array, strideX:integer, \n  offsetX:integer )\n    Computes the sum of double-precision floating-point strided array elements,\n    ignoring `NaN` values and using pairwise summation and alternative indexing\n    semantics.\n"
 base.strided.dnanvariance,"\nbase.strided.dnanvariance( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values.\n"
 base.strided.dnanvariance.ndarray,"\nbase.strided.dnanvariance.ndarray( N:integer, correction:number, \n  x:Float64Array, stride:integer, offset:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using alternative indexing semantics.\n"
-base.strided.dnanvariancech,"\nbase.strided.dnanvariancech( N:integer, correction:number, x:Float64Array, \n  stride:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using a one-pass trial mean algorithm.\n"
-base.strided.dnanvariancech.ndarray,"\nbase.strided.dnanvariancech.ndarray( N:integer, correction:number, \n  x:Float64Array, stride:integer, offset:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using a one-pass trial mean algorithm and\n    alternative indexing semantics.\n"
+base.strided.dnanvariancech,"\nbase.strided.dnanvariancech( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using a one-pass trial mean algorithm.\n"
+base.strided.dnanvariancech.ndarray,"\nbase.strided.dnanvariancech.ndarray( N:integer, correction:number, \n  x:Float64Array, strideX:integer, offsetX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using a one-pass trial mean algorithm and\n    alternative indexing semantics.\n"
 base.strided.dnanvariancepn,"\nbase.strided.dnanvariancepn( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using a two-pass algorithm.\n"
 base.strided.dnanvariancepn.ndarray,"\nbase.strided.dnanvariancepn.ndarray( N:integer, correction:number, \n  x:Float64Array, strideX:integer, offsetX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using a two-pass algorithm and alternative\n    indexing semantics.\n"
 base.strided.dnanvariancetk,"\nbase.strided.dnanvariancetk( N:integer, correction:number, x:Float64Array, \n  strideX:integer )\n    Computes the variance of a double-precision floating-point strided array\n    ignoring `NaN` values and using a one-pass textbook algorithm.\n"