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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">[`meanors( N, x, stride )`][@stdlib/stats/strided/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/strided/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/strided/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/strided/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">[`nanmean( N, x, stride )`][@stdlib/stats/base/nanmean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmean( N, x, strideX )`][@stdlib/stats/base/nanmean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`nanmeanors( N, x, stride )`][@stdlib/stats/base/nanmeanors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using ordinary recursive summation.</span>
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- <spanclass="signature">[`nanmeanpn( N, x, strideX )`][@stdlib/stats/base/nanmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`nanmeanwd( N, x, stride )`][@stdlib/stats/base/nanmeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array, ignoring `NaN` values and using Welford's algorithm.</span>
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