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@@ -144,11 +144,21 @@ Other statistical functions included are:
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<divclass="namespace-toc">
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- <spanclass="signature">[`cumax( x[, options] )`][@stdlib/stats/cumax]</span><spanclass="delimiter">: </span><spanclass="description">compute the cumulative maximum value along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`cumin( x[, options] )`][@stdlib/stats/cumin]</span><spanclass="delimiter">: </span><spanclass="description">compute the cumulative minimum value along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`kde2d()`][@stdlib/stats/kde2d]</span><spanclass="delimiter">: </span><spanclass="description">two-dimensional kernel density estimation.</span>
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- <spanclass="signature">[`lowess( x, y[, opts] )`][@stdlib/stats/lowess]</span><spanclass="delimiter">: </span><spanclass="description">locally-weighted polynomial regression via the LOWESS algorithm.</span>
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- <spanclass="signature">[`maxBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/max-by]</span><spanclass="delimiter">: </span><spanclass="description">compute the maximum value along one or more ndarray dimensions according to a callback function.</span>
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- <spanclass="signature">[`max( x[, options] )`][@stdlib/stats/max]</span><spanclass="delimiter">: </span><spanclass="description">compute the maximum value along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`maxabs( x[, options] )`][@stdlib/stats/maxabs]</span><spanclass="delimiter">: </span><spanclass="description">compute the maximum absolute value along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`mean( x[, options] )`][@stdlib/stats/mean]</span><spanclass="delimiter">: </span><spanclass="description">compute the arithmetic mean along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`minBy( x[, options], clbk[, thisArg] )`][@stdlib/stats/min-by]</span><spanclass="delimiter">: </span><spanclass="description">compute the minimum value along one or more ndarray dimensions according to a callback function.</span>
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- <spanclass="signature">[`min( x[, options] )`][@stdlib/stats/min]</span><spanclass="delimiter">: </span><spanclass="description">compute the minimum value along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`minabs( x[, options] )`][@stdlib/stats/minabs]</span><spanclass="delimiter">: </span><spanclass="description">compute the minimum absolute value along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`nanmax( x[, options] )`][@stdlib/stats/nanmax]</span><spanclass="delimiter">: </span><spanclass="description">compute the maximum value along one or more ndarray dimensions, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmean( x[, options] )`][@stdlib/stats/nanmean]</span><spanclass="delimiter">: </span><spanclass="description">compute the arithmetic mean along one or more ndarray dimensions, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmin( x[, options] )`][@stdlib/stats/nanmin]</span><spanclass="delimiter">: </span><spanclass="description">compute the minimum value along one or more ndarray dimensions, ignoring `NaN` values.</span>
- <spanclass="signature">[`range( x[, options] )`][@stdlib/stats/range]</span><spanclass="delimiter">: </span><spanclass="description">compute the range along one or more ndarray dimensions.</span>
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- <spanclass="signature">[`ranks( arr[, opts] )`][@stdlib/stats/ranks]</span><spanclass="delimiter">: </span><spanclass="description">compute ranks for values of an array-like object.</span>
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