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CHANGELOG.md

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@@ -3407,6 +3407,7 @@ A total of 556 issues were closed in this release:
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<details>
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- [`5f5bb2d`](https://github.com/stdlib-js/stdlib/commit/5f5bb2d4277a24000b57fb07bc28d821500cd7e8) - **docs:** update namespace table of contents [(#8425)](https://github.com/stdlib-js/stdlib/pull/8425) _(by stdlib-bot, Athan Reines)_
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- [`b893587`](https://github.com/stdlib-js/stdlib/commit/b893587169727ab72e382fe40ff2c0b9bb7078e7) - **chore:** resolve lint failures _(by Athan Reines)_
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- [`ccaf3a2`](https://github.com/stdlib-js/stdlib/commit/ccaf3a2f23735bcb37f00ec28aea187662b174b6) - **feat:** add `stats/base/ndarray/meanwd` [(#8422)](https://github.com/stdlib-js/stdlib/pull/8422) _(by Sachin Pangal, Athan Reines)_
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- [`5ac2a43`](https://github.com/stdlib-js/stdlib/commit/5ac2a43dbf6d761ad2eb83c55f21bf5bf5caa753) - **feat:** add `stats/base/ndarray/meanpn` [(#8410)](https://github.com/stdlib-js/stdlib/pull/8410) _(by Sachin Pangal, Athan Reines)_

README.md

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<div class="namespace-toc">
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- <span class="signature">[`cumax( x[, options] )`][@stdlib/stats/cumax]</span><span class="delimiter">: </span><span class="description">compute the cumulative maximum value along one or more ndarray dimensions.</span>
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- <span class="signature">[`cumin( x[, options] )`][@stdlib/stats/cumin]</span><span class="delimiter">: </span><span class="description">compute the cumulative minimum value along one or more ndarray dimensions.</span>
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- <span class="signature">[`kde2d()`][@stdlib/stats/kde2d]</span><span class="delimiter">: </span><span class="description">two-dimensional kernel density estimation.</span>
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- <span class="signature">[`lowess( x, y[, opts] )`][@stdlib/stats/lowess]</span><span class="delimiter">: </span><span class="description">locally-weighted polynomial regression via the LOWESS algorithm.</span>
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- <span class="signature">[`maxBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/max-by]</span><span class="delimiter">: </span><span class="description">compute the maximum value along one or more ndarray dimensions according to a callback function.</span>
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- <span class="signature">[`max( x[, options] )`][@stdlib/stats/max]</span><span class="delimiter">: </span><span class="description">compute the maximum value along one or more ndarray dimensions.</span>
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- <span class="signature">[`maxabs( x[, options] )`][@stdlib/stats/maxabs]</span><span class="delimiter">: </span><span class="description">compute the maximum absolute value along one or more ndarray dimensions.</span>
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- <span class="signature">[`mean( x[, options] )`][@stdlib/stats/mean]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean along one or more ndarray dimensions.</span>
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- <span class="signature">[`minBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/min-by]</span><span class="delimiter">: </span><span class="description">compute the minimum value along one or more ndarray dimensions according to a callback function.</span>
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- <span class="signature">[`min( x[, options] )`][@stdlib/stats/min]</span><span class="delimiter">: </span><span class="description">compute the minimum value along one or more ndarray dimensions.</span>
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- <span class="signature">[`minabs( x[, options] )`][@stdlib/stats/minabs]</span><span class="delimiter">: </span><span class="description">compute the minimum absolute value along one or more ndarray dimensions.</span>
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- <span class="signature">[`nanmax( x[, options] )`][@stdlib/stats/nanmax]</span><span class="delimiter">: </span><span class="description">compute the maximum value along one or more ndarray dimensions, ignoring `NaN` values.</span>
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- <span class="signature">[`nanmean( x[, options] )`][@stdlib/stats/nanmean]</span><span class="delimiter">: </span><span class="description">compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values.</span>
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- <span class="signature">[`nanmin( x[, options] )`][@stdlib/stats/nanmin]</span><span class="delimiter">: </span><span class="description">compute the minimum value along one or more ndarray dimensions, ignoring `NaN` values.</span>
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- <span class="signature">[`padjust( pvals, method[, comparisons] )`][@stdlib/stats/padjust]</span><span class="delimiter">: </span><span class="description">adjust supplied p-values for multiple comparisons.</span>
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- <span class="signature">[`range( x[, options] )`][@stdlib/stats/range]</span><span class="delimiter">: </span><span class="description">compute the range along one or more ndarray dimensions.</span>
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- <span class="signature">[`ranks( arr[, opts] )`][@stdlib/stats/ranks]</span><span class="delimiter">: </span><span class="description">compute ranks for values of an array-like object.</span>
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</div>
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[@stdlib/stats/cumax]: https://github.com/stdlib-js/stats/tree/main/cumax
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[@stdlib/stats/cumin]: https://github.com/stdlib-js/stats/tree/main/cumin
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[@stdlib/stats/kde2d]: https://github.com/stdlib-js/stats/tree/main/kde2d
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[@stdlib/stats/lowess]: https://github.com/stdlib-js/stats/tree/main/lowess
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[@stdlib/stats/max]: https://github.com/stdlib-js/stats/tree/main/max
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[@stdlib/stats/maxabs]: https://github.com/stdlib-js/stats/tree/main/maxabs
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[@stdlib/stats/mean]: https://github.com/stdlib-js/stats/tree/main/mean
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[@stdlib/stats/min-by]: https://github.com/stdlib-js/stats/tree/main/min-by
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[@stdlib/stats/min]: https://github.com/stdlib-js/stats/tree/main/min
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[@stdlib/stats/minabs]: https://github.com/stdlib-js/stats/tree/main/minabs
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[@stdlib/stats/nanmax]: https://github.com/stdlib-js/stats/tree/main/nanmax
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[@stdlib/stats/nanmean]: https://github.com/stdlib-js/stats/tree/main/nanmean
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[@stdlib/stats/nanmin]: https://github.com/stdlib-js/stats/tree/main/nanmin
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[@stdlib/stats/padjust]: https://github.com/stdlib-js/stats/tree/main/padjust
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[@stdlib/stats/range]: https://github.com/stdlib-js/stats/tree/main/range
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[@stdlib/stats/ranks]: https://github.com/stdlib-js/stats/tree/main/ranks
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[@stdlib/stats/base]: https://github.com/stdlib-js/stats/tree/main/base

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