From 1288a5d74b27aebc1e8d5f263ec3435f617db6cf Mon Sep 17 00:00:00 2001 From: Planeshifter <1913638+Planeshifter@users.noreply.github.com> Date: Thu, 29 Jan 2026 03:13:36 +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/ndarray/README.md | 9 +++++++++ 1 file changed, 9 insertions(+) diff --git a/lib/node_modules/@stdlib/stats/base/ndarray/README.md b/lib/node_modules/@stdlib/stats/base/ndarray/README.md index b5acbbd16b7f..c3479c8a0687 100644 --- a/lib/node_modules/@stdlib/stats/base/ndarray/README.md +++ b/lib/node_modules/@stdlib/stats/base/ndarray/README.md @@ -90,6 +90,7 @@ The namespace exposes the following APIs: - [`dnanmskrange( arrays )`][@stdlib/stats/base/ndarray/dnanmskrange]: calculate the range of a one-dimensional double-precision floating-point ndarray according to a mask, ignoring `NaN` values. - [`dnanrange( arrays )`][@stdlib/stats/base/ndarray/dnanrange]: compute the range of a one-dimensional double-precision floating-point ndarray, ignoring `NaN` values. - [`drange( arrays )`][@stdlib/stats/base/ndarray/drange]: compute the range of a one-dimensional double-precision floating-point ndarray. +- [`drangeabs( arrays )`][@stdlib/stats/base/ndarray/drangeabs]: compute the range of absolute values of a one-dimensional double-precision floating-point ndarray. - [`dstdev( arrays )`][@stdlib/stats/base/ndarray/dstdev]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray. - [`dstdevch( arrays )`][@stdlib/stats/base/ndarray/dstdevch]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray using a one-pass trial mean algorithm. - [`dstdevpn( arrays )`][@stdlib/stats/base/ndarray/dstdevpn]: calculate the standard deviation of a one-dimensional double-precision floating-point ndarray using a two-pass algorithm. @@ -137,6 +138,7 @@ The namespace exposes the following APIs: - [`nanrange( arrays )`][@stdlib/stats/base/ndarray/nanrange]: compute the range of a one-dimensional ndarray, ignoring `NaN` values. - [`rangeBy( arrays, clbk[, thisArg ] )`][@stdlib/stats/base/ndarray/range-by]: calculate the range of a one-dimensional ndarray via a callback function. - [`range( arrays )`][@stdlib/stats/base/ndarray/range]: compute the range of a one-dimensional ndarray. +- [`rangeabs( arrays )`][@stdlib/stats/base/ndarray/rangeabs]: compute the range of absolute values of a one-dimensional ndarray. - [`scovarmtk( arrays )`][@stdlib/stats/base/ndarray/scovarmtk]: calculate the covariance of two one-dimensional single-precision floating-point ndarrays provided known means and using a one-pass textbook algorithm. - [`scumax( arrays )`][@stdlib/stats/base/ndarray/scumax]: compute the cumulative maximum value of a one-dimensional single-precision floating-point ndarray. - [`scumaxabs( arrays )`][@stdlib/stats/base/ndarray/scumaxabs]: compute the cumulative maximum absolute value of a one-dimensional single-precision floating-point ndarray. @@ -181,6 +183,7 @@ The namespace exposes the following APIs: - [`snanmskrange( arrays )`][@stdlib/stats/base/ndarray/snanmskrange]: calculate the range of a one-dimensional single-precision floating-point ndarray according to a mask, ignoring `NaN` values. - [`snanrange( arrays )`][@stdlib/stats/base/ndarray/snanrange]: compute the range of a one-dimensional single-precision floating-point ndarray, ignoring `NaN` values. - [`srange( arrays )`][@stdlib/stats/base/ndarray/srange]: compute the range of a one-dimensional single-precision floating-point ndarray. +- [`srangeabs( arrays )`][@stdlib/stats/base/ndarray/srangeabs]: compute the range of absolute values of a one-dimensional single-precision floating-point ndarray. - [`sstdev( arrays )`][@stdlib/stats/base/ndarray/sstdev]: calculate the standard deviation of a one-dimensional single-precision floating-point ndarray. - [`sstdevch( arrays )`][@stdlib/stats/base/ndarray/sstdevch]: calculate the standard deviation of a one-dimensional single-precision floating-point ndarray using a one-pass trial mean algorithm. - [`sstdevpn( arrays )`][@stdlib/stats/base/ndarray/sstdevpn]: calculate the standard deviation of a one-dimensional single-precision floating-point ndarray using a two-pass algorithm. @@ -330,6 +333,8 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/ndarray/drange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/drange +[@stdlib/stats/base/ndarray/drangeabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/drangeabs + [@stdlib/stats/base/ndarray/dstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dstdev [@stdlib/stats/base/ndarray/dstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/dstdevch @@ -424,6 +429,8 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/ndarray/range]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/range +[@stdlib/stats/base/ndarray/rangeabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/rangeabs + [@stdlib/stats/base/ndarray/scovarmtk]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/scovarmtk [@stdlib/stats/base/ndarray/scumax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/scumax @@ -512,6 +519,8 @@ console.log( objectKeys( ns ) ); [@stdlib/stats/base/ndarray/srange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/srange +[@stdlib/stats/base/ndarray/srangeabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/srangeabs + [@stdlib/stats/base/ndarray/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/sstdev [@stdlib/stats/base/ndarray/sstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/ndarray/sstdevch