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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">[`dmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="signature">[`dmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="signature">[`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="signature">[`dmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/dmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="signature">[`dnanmeanpw( N, x, strideX )`][@stdlib/stats/strided/dnanmeanpw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring `NaN` values and using pairwise summation.</span>
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- <spanclass="signature">[`dnanmeanwd( N, x, strideX )`][@stdlib/stats/strided/dnanmeanwd]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array, using Welford's algorithm and ignoring `NaN` values.</span>
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- <spanclass="signature">[`dnanminabs( N, x, strideX )`][@stdlib/stats/strided/dnanminabs]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/dnanmskrange/README.md
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## See Also
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- <spanclass="package-name">[`@stdlib/stats/base/dmskrange`][@stdlib/stats/base/dmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/dmskrange`][@stdlib/stats/strided/dmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/dnanrange`][@stdlib/stats/strided/dnanrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array, ignoring NaN values.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/dnanmskmax`][@stdlib/stats/base/dnanmskmax]</span><spanclass="delimiter">: </span><spanclass="description">calculate the maximum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/dnanmskmin`][@stdlib/stats/base/dnanmskmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/mskrange/README.md
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## Notes
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- If `N <= 0`, both functions return `NaN`.
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- Depending on the environment, the typed versions ([`dmskrange`][@stdlib/stats/base/dmskrange], [`smskrange`][@stdlib/stats/strided/smskrange], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmskrange`][@stdlib/stats/strided/dmskrange], [`smskrange`][@stdlib/stats/strided/smskrange], etc.) are likely to be significantly more performant.
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- Both functions support array-like objects having getter and setter accessors for array element access (e.g., [`@stdlib/array/base/accessor`][@stdlib/array/base/accessor]).
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</section>
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## See Also
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- <spanclass="package-name">[`@stdlib/stats/base/dmskrange`][@stdlib/stats/base/dmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/dmskrange`][@stdlib/stats/strided/dmskrange]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a double-precision floating-point strided array according to a mask.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/range`][@stdlib/stats/base/range]</span><spanclass="delimiter">: </span><spanclass="description">calculate the range of a strided array.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/mskmax`][@stdlib/stats/base/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="package-name">[`@stdlib/stats/base/mskmin`][@stdlib/stats/base/mskmin]</span><spanclass="delimiter">: </span><spanclass="description">calculate the minimum value of a strided array according to a mask.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/strided/smskrange/README.md
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dmskrange`][@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>
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- <span class="package-name">[`@stdlib/stats/strided/dmskrange`][@stdlib/stats/strided/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>
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- <span class="package-name">[`@stdlib/stats/base/mskrange`][@stdlib/stats/base/mskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smskmax`][@stdlib/stats/strided/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>
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- <span class="package-name">[`@stdlib/stats/strided/smskmin`][@stdlib/stats/strided/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>
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