From 9eb0ae6dcc4aafce10af74dd2e0386e009b1187c Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Mon, 13 Apr 2026 03:27:06 +0000 Subject: [PATCH] docs: update namespace table of contents Signed-off-by: stdlib-bot <82920195+stdlib-bot@users.noreply.github.com> --- .../@stdlib/stats/strided/README.md | 30 +++++++++++++++++++ 1 file changed, 30 insertions(+) diff --git a/lib/node_modules/@stdlib/stats/strided/README.md b/lib/node_modules/@stdlib/stats/strided/README.md index 8e081d006d11..35b39f7e515c 100644 --- a/lib/node_modules/@stdlib/stats/strided/README.md +++ b/lib/node_modules/@stdlib/stats/strided/README.md @@ -90,6 +90,7 @@ The namespace exports the following: - [`dmskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskmidrange]: calculate the mid-range of a double-precision floating-point strided array according to a mask. - [`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask. - [`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskrange]: calculate the range of a double-precision floating-point strided array according to a mask. +- [`dnancount( N, x, strideX )`][@stdlib/stats/strided/dnancount]: calculate the number of non-`NaN` elements in a double-precision floating-point strided array. - [`dnanmax( N, x, strideX )`][@stdlib/stats/strided/dnanmax]: calculate the maximum value of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanmaxabs( N, x, strideX )`][@stdlib/stats/strided/dnanmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanmean( N, x, strideX )`][@stdlib/stats/strided/dnanmean]: calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values. @@ -101,10 +102,13 @@ The namespace exports the following: - [`dnanmin( N, x, strideX )`][@stdlib/stats/strided/dnanmin]: calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanminabs( N, x, strideX )`][@stdlib/stats/strided/dnanminabs]: calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskmax]: calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. +- [`dnanmskmaxabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskmaxabs]: calculate the maximum absolute value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`dnanmskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskmidrange]: calculate the mid-range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskmin]: calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. +- [`dnanmskminabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskminabs]: calculate the minimum absolute value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dnanmskrange]: calculate the range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`dnanrange( N, x, strideX )`][@stdlib/stats/strided/dnanrange]: calculate the range of a double-precision floating-point strided array, ignoring `NaN` values. +- [`dnanrangeabs( N, \*X, strideX )`][@stdlib/stats/strided/dnanrangeabs]: compute the range of absolute values of a double-precision floating-point strided array, ignoring `NaN` values. - [`dnanstdev( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdev]: calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values. - [`dnanstdevch( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevch]: calculate the standard deviation of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm. - [`dnanstdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/dnanstdevpn]: calculate the standard deviation of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass algorithm. @@ -117,6 +121,7 @@ The namespace exports the following: - [`dnanvariancetk( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvariancetk]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm. - [`dnanvariancewd( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvariancewd]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm. - [`dnanvarianceyc( N, correction, x, strideX )`][@stdlib/stats/strided/dnanvarianceyc]: calculate the variance of a double-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer. +- [`dpcorrwd( N, x, strideX, y, strideY )`][@stdlib/stats/strided/dpcorrwd]: calculate the sample Pearson product-moment correlation coefficient of two double-precision floating-point strided arrays using Welford's algorithm. - [`drange( N, x, strideX )`][@stdlib/stats/strided/drange]: calculate the range of a double-precision floating-point strided array. - [`drangeabs( N, x, strideX )`][@stdlib/stats/strided/drangeabs]: compute the range of absolute values of a double-precision floating-point strided array. - [`dsem( N, correction, x, strideX )`][@stdlib/stats/strided/dsem]: calculate the standard error of the mean of a double-precision floating-point strided array. @@ -175,7 +180,9 @@ The namespace exports the following: - [`mskmaxabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmaxabs]: calculate the maximum absolute value of a strided array according to a mask. - [`mskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmidrange]: calculate the mid-range of a strided array according to a mask. - [`mskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmin]: calculate the minimum value of a strided array according to a mask. +- [`mskminabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskminabs]: calculate the minimum absolute value of a strided array according to a mask. - [`mskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskrange]: calculate the range of a strided array according to a mask. +- [`nancount( N, x, strideX )`][@stdlib/stats/strided/nancount]: calculate the number of non-`NaN` elements in a strided array. - [`nanmaxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/nanmax-by]: calculate the maximum value of a strided array via a callback function, ignoring `NaN` values. - [`nanmax( N, x, strideX )`][@stdlib/stats/strided/nanmax]: calculate the maximum value of a strided array, ignoring `NaN` values. - [`nanmaxabs( N, x, strideX )`][@stdlib/stats/strided/nanmaxabs]: calculate the maximum absolute value of a strided array, ignoring `NaN` values. @@ -194,6 +201,7 @@ The namespace exports the following: - [`nanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/nanmskrange]: calculate the range of a strided array according to a mask, ignoring `NaN` values. - [`nanrangeBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/nanrange-by]: calculate the range of a strided array via a callback function, ignoring `NaN` values. - [`nanrange( N, x, strideX )`][@stdlib/stats/strided/nanrange]: calculate the range of a strided array, ignoring `NaN` values. +- [`nanrangeabs( N, x, strideX )`][@stdlib/stats/strided/nanrangeabs]: calculate the range of absolute values of a strided array, ignoring `NaN` values. - [`nanstdev( N, correction, x, strideX )`][@stdlib/stats/strided/nanstdev]: calculate the standard deviation of a strided array ignoring `NaN` values. - [`nanstdevch( N, correction, x, strideX )`][@stdlib/stats/strided/nanstdevch]: calculate the standard deviation of a strided array ignoring `NaN` values and using a one-pass trial mean algorithm. - [`nanstdevpn( N, correction, x, strideX )`][@stdlib/stats/strided/nanstdevpn]: calculate the standard deviation of a strided array ignoring `NaN` values and using a two-pass algorithm. @@ -250,8 +258,10 @@ The namespace exports the following: - [`snanmin( N, x, strideX )`][@stdlib/stats/strided/snanmin]: calculate the minimum value of a single-precision floating-point strided array, ignoring `NaN` values. - [`snanminabs( N, x, strideX )`][@stdlib/stats/strided/snanminabs]: calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values. - [`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskmax]: calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values. +- [`snanmskmaxabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskmaxabs]: calculate the maximum absolute value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`snanmskmidrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskmidrange]: calculate the mid-range of a single-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`snanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskmin]: calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values. +- [`snanmskminabs( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskminabs]: calculate the minimum absolute value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`snanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskrange]: calculate the range of a single-precision floating-point strided array according to a mask, ignoring `NaN` values. - [`snanrange( N, x, strideX )`][@stdlib/stats/strided/snanrange]: calculate the range of a single-precision floating-point strided array, ignoring `NaN` values. - [`srange( N, x, strideX )`][@stdlib/stats/strided/srange]: calculate the range of a single-precision floating-point strided array. @@ -406,6 +416,8 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/strided/dmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmskrange +[@stdlib/stats/strided/dnancount]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnancount + [@stdlib/stats/strided/dnanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmax [@stdlib/stats/strided/dnanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmaxabs @@ -428,14 +440,20 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/strided/dnanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskmax +[@stdlib/stats/strided/dnanmskmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskmaxabs + [@stdlib/stats/strided/dnanmskmidrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskmidrange [@stdlib/stats/strided/dnanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskmin +[@stdlib/stats/strided/dnanmskminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskminabs + [@stdlib/stats/strided/dnanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmskrange [@stdlib/stats/strided/dnanrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanrange +[@stdlib/stats/strided/dnanrangeabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanrangeabs + [@stdlib/stats/strided/dnanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdev [@stdlib/stats/strided/dnanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanstdevch @@ -460,6 +478,8 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/strided/dnanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanvarianceyc +[@stdlib/stats/strided/dpcorrwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dpcorrwd + [@stdlib/stats/strided/drange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/drange [@stdlib/stats/strided/drangeabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/drangeabs @@ -576,8 +596,12 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/strided/mskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mskmin +[@stdlib/stats/strided/mskminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mskminabs + [@stdlib/stats/strided/mskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/mskrange +[@stdlib/stats/strided/nancount]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nancount + [@stdlib/stats/strided/nanmax-by]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmax-by [@stdlib/stats/strided/nanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanmax @@ -614,6 +638,8 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/strided/nanrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanrange +[@stdlib/stats/strided/nanrangeabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanrangeabs + [@stdlib/stats/strided/nanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdev [@stdlib/stats/strided/nanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/nanstdevch @@ -726,10 +752,14 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/strided/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmax +[@stdlib/stats/strided/snanmskmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmaxabs + [@stdlib/stats/strided/snanmskmidrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmidrange [@stdlib/stats/strided/snanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmin +[@stdlib/stats/strided/snanmskminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskminabs + [@stdlib/stats/strided/snanmskrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskrange [@stdlib/stats/strided/snanrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanrange