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282 changes: 200 additions & 82 deletions CHANGELOG.md
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3 changes: 2 additions & 1 deletion CONTRIBUTORS
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Expand Up @@ -27,6 +27,7 @@ Daniel Killenberger <[email protected]>
Daniel Yu <[email protected]>
Debashis Maharana <[email protected]>
Desh Deepak Kant <[email protected]>
Dhruv Arvind Singh <[email protected]>
Divyansh Seth <[email protected]>
Dominic Lim <[email protected]>
Dominik Moritz <[email protected]>
Expand Down Expand Up @@ -117,7 +118,7 @@ UtkershBasnet <[email protected]>
Vaibhav Patel <[email protected]>
Varad Gupta <[email protected]>
Vinit Pandit <[email protected]>
Vivek maurya <[email protected].com>
Vivek Maurya <vm8118134@gmail.com>
Xiaochuan Ye <[email protected]>
Yaswanth Kosuru <[email protected]>
Yernar Yergaziyev <[email protected]>
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2 changes: 1 addition & 1 deletion NOTICE
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@@ -1 +1 @@
Copyright (c) 2016-2024 The Stdlib Authors.
Copyright (c) 2016-2025 The Stdlib Authors.
23 changes: 15 additions & 8 deletions README.md
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Expand Up @@ -100,8 +100,8 @@ The namespace contains the following statistical functions:
- <span class="signature">[`dcuminabs( N, x, strideX, y, strideY )`][@stdlib/stats/base/dcuminabs]</span><span class="delimiter">: </span><span class="description">calculate the cumulative minimum absolute value of double-precision floating-point strided array elements.</span>
- <span class="signature">[`dmax( N, x, strideX )`][@stdlib/stats/base/dmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array.</span>
- <span class="signature">[`dmaxabs( N, x, strideX )`][@stdlib/stats/base/dmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a double-precision floating-point strided array.</span>
- <span class="signature">[`dmaxabssorted( N, x, stride )`][@stdlib/stats/base/dmaxabssorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dmaxsorted( N, x, stride )`][@stdlib/stats/base/dmaxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dmaxabssorted( N, x, strideX )`][@stdlib/stats/base/dmaxabssorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dmaxsorted( N, x, strideX )`][@stdlib/stats/base/dmaxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dmean( N, x, stride )`][@stdlib/stats/base/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
- <span class="signature">[`dmeankbn( N, x, stride )`][@stdlib/stats/base/dmeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
- <span class="signature">[`dmeankbn2( N, x, stride )`][@stdlib/stats/base/dmeankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.</span>
Expand All @@ -115,11 +115,11 @@ The namespace contains the following statistical functions:
- <span class="signature">[`dmeanvar( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvar]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array.</span>
- <span class="signature">[`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]</span><span class="delimiter">: </span><span class="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
- <span class="signature">[`dmeanwd( N, x, stride )`][@stdlib/stats/base/dmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using Welford's algorithm.</span>
- <span class="signature">[`dmediansorted( N, x, stride )`][@stdlib/stats/base/dmediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dmediansorted( N, x, strideX )`][@stdlib/stats/base/dmediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dmidrange( N, x, strideX )`][@stdlib/stats/base/dmidrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a double-precision floating-point strided array.</span>
- <span class="signature">[`dmin( N, x, strideX )`][@stdlib/stats/base/dmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array.</span>
- <span class="signature">[`dminabs( N, x, strideX )`][@stdlib/stats/base/dminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array.</span>
- <span class="signature">[`dminsorted( N, x, stride )`][@stdlib/stats/base/dminsorted]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dminsorted( N, x, strideX )`][@stdlib/stats/base/dminsorted]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a sorted double-precision floating-point strided array.</span>
- <span class="signature">[`dmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask.</span>
- <span class="signature">[`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask.</span>
- <span class="signature">[`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
Expand All @@ -129,7 +129,7 @@ The namespace contains the following statistical functions:
- <span class="signature">[`dnanmeanors( N, x, stride )`][@stdlib/stats/base/dnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
- <span class="signature">[`dnanmeanpn( N, x, stride )`][@stdlib/stats/base/dnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
- <span class="signature">[`dnanmeanpw( N, x, stride )`][@stdlib/stats/base/dnanmeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.</span>
- <span class="signature">[`dnanmeanwd( N, x, stride )`][@stdlib/stats/base/dnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.</span>
- <span class="signature">[`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.</span>
- <span class="signature">[`dnanmin( N, x, strideX )`][@stdlib/stats/base/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
- <span class="signature">[`dnanminabs( N, x, strideX )`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
- <span class="signature">[`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
Expand Down Expand Up @@ -239,7 +239,7 @@ The namespace contains the following statistical functions:
- <span class="signature">[`sdsnanmeanors( N, x, stride )`][@stdlib/stats/base/sdsnanmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using ordinary recursive summation with extended accumulation.</span>
- <span class="signature">[`smax( N, x, strideX )`][@stdlib/stats/base/smax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array.</span>
- <span class="signature">[`smaxabs( N, x, strideX )`][@stdlib/stats/base/smaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array.</span>
- <span class="signature">[`smaxabssorted( N, x, stride )`][@stdlib/stats/base/smaxabssorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a sorted single-precision floating-point strided array.</span>
- <span class="signature">[`smaxabssorted( N, x, strideX )`][@stdlib/stats/base/smaxabssorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a sorted single-precision floating-point strided array.</span>
- <span class="signature">[`smaxsorted( N, x, stride )`][@stdlib/stats/base/smaxsorted]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a sorted single-precision floating-point strided array.</span>
- <span class="signature">[`smean( N, x, stride )`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
- <span class="signature">[`smeankbn( N, x, stride )`][@stdlib/stats/base/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
Expand All @@ -250,11 +250,11 @@ The namespace contains the following statistical functions:
- <span class="signature">[`smeanpn( N, x, stride )`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
- <span class="signature">[`smeanpw( N, x, stride )`][@stdlib/stats/base/smeanpw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using pairwise summation.</span>
- <span class="signature">[`smeanwd( N, x, stride )`][@stdlib/stats/base/smeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using Welford's algorithm.</span>
- <span class="signature">[`smediansorted( N, x, stride )`][@stdlib/stats/base/smediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted single-precision floating-point strided array.</span>
- <span class="signature">[`smediansorted( N, x, strideX )`][@stdlib/stats/base/smediansorted]</span><span class="delimiter">: </span><span class="description">calculate the median value of a sorted single-precision floating-point strided array.</span>
- <span class="signature">[`smidrange( N, x, strideX )`][@stdlib/stats/base/smidrange]</span><span class="delimiter">: </span><span class="description">calculate the mid-range of a single-precision floating-point strided array.</span>
- <span class="signature">[`smin( N, x, strideX )`][@stdlib/stats/base/smin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array.</span>
- <span class="signature">[`sminabs( N, x, strideX )`][@stdlib/stats/base/sminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array.</span>
- <span class="signature">[`sminsorted( N, x, stride )`][@stdlib/stats/base/sminsorted]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a sorted single-precision floating-point strided array.</span>
- <span class="signature">[`sminsorted( N, x, strideX )`][@stdlib/stats/base/sminsorted]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a sorted single-precision floating-point strided array.</span>
- <span class="signature">[`smskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask.</span>
- <span class="signature">[`smskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask.</span>
- <span class="signature">[`smskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/smskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask.</span>
Expand Down Expand Up @@ -370,6 +370,11 @@ For more information on the project, filing bug reports and feature requests, an

---

## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2025. The Stdlib [Authors][stdlib-authors].
Expand Down Expand Up @@ -416,6 +421,8 @@ Copyright &copy; 2016-2025. The Stdlib [Authors][stdlib-authors].
[esm-readme]: https://github.com/stdlib-js/stats-base/blob/esm/README.md
[branches-url]: https://github.com/stdlib-js/stats-base/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-base/main/LICENSE

<!-- <toc-links> -->

[@stdlib/stats/base/cumax]: https://github.com/stdlib-js/stats-base-cumax
Expand Down
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