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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/README.md
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- <spanclass="signature">[`dmeanvarpn( N, correction, x, strideX, out, strideOut )`][@stdlib/stats/base/dmeanvarpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the mean and variance of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <spanclass="signature">[`dvarm( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarm]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a double-precision floating-point strided array provided a known mean.</span>
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- <spanclass="signature">[`dvarmpn( N, mean, correction, x, stride )`][@stdlib/stats/base/dvarmpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the variance of a double-precision floating-point strided array provided a known mean and using Neely's correction algorithm.</span>
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- <spanclass="signature">[`maxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/max-by]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a strided array via a callback function.</span>
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- <spanclass="signature">[`max( N, x, strideX )`][@stdlib/stats/strided/max]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a strided array.</span>
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- <spanclass="signature">[`maxabs( N, x, strideX )`][@stdlib/stats/strided/maxabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum absolute value of a strided array.</span>
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- <spanclass="signature">[`maxsorted( N, x, strideX )`][@stdlib/stats/strided/maxsorted]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a sorted strided array.</span>
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- <spanclass="signature">[`mean( N, x, strideX )`][@stdlib/stats/strided/mean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array.</span>
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- <spanclass="signature">[`meankbn( N, x, stride )`][@stdlib/stats/base/meankbn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`meankbn2( N, x, stride )`][@stdlib/stats/base/meankbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`meanors( N, x, stride )`][@stdlib/stats/base/meanors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
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- <spanclass="signature">[`meanpn( N, x, strideX )`][@stdlib/stats/base/meanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`meanpw( N, x, stride )`][@stdlib/stats/base/meanpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array using pairwise summation.</span>
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- <spanclass="signature">[`meanwd( N, x, strideX )`][@stdlib/stats/base/meanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array using Welford's algorithm.</span>
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- <spanclass="signature">[`mediansorted( N, x, strideX )`][@stdlib/stats/strided/mediansorted]</span><spanclass="delimiter">: </span><spanclass="description">calculate the median value of a sorted strided array.</span>
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- <spanclass="signature">[`minBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/strided/min-by]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a strided array via a callback function.</span>
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- <spanclass="signature">[`min( N, x, strideX )`][@stdlib/stats/strided/min]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a strided array.</span>
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- <spanclass="signature">[`minabs( N, x, strideX )`][@stdlib/stats/strided/minabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum absolute value of a strided array.</span>
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- <spanclass="signature">[`minsorted( N, x, strideX )`][@stdlib/stats/strided/minsorted]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a sorted strided array.</span>
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- <spanclass="signature">[`mskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a strided array according to a mask.</span>
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- <spanclass="signature">[`mskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a strided array according to a mask.</span>
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- <spanclass="signature">[`mskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/mskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a strided array according to a mask.</span>
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- <spanclass="signature">[`nanmaxBy( N, x, strideX, clbk[, thisArg] )`][@stdlib/stats/base/nanmax-by]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a strided array via a callback function, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmax( N, x, strideX )`][@stdlib/stats/base/nanmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmaxabs( N, x, strideX )`][@stdlib/stats/base/nanmaxabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum absolute value of a strided array, ignoring `NaN` values.</span>
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