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Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/README.md
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@@ -123,7 +123,7 @@ The namespace contains the following statistical functions:
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- <spanclass="signature">[`smeankbn2( N, x, stride )`][@stdlib/stats/base/smeankbn2]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.</span>
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- <spanclass="signature">[`smeanlipw( N, x, stride )`][@stdlib/stats/base/smeanlipw]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
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- <spanclass="signature">[`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
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- <spanclass="signature">[`smeanpn( N, x, strideX )`][@stdlib/stats/base/smeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`smeanpn( N, x, strideX )`][@stdlib/stats/strided/smeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="signature">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanstdev( N, correction, x, stride )`][@stdlib/stats/base/snanstdev]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values.</span>
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- <spanclass="signature">[`snanstdevch( N, correction, x, stride )`][@stdlib/stats/base/snanstdevch]</span><spanclass="delimiter">: </span><spanclass="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass trial mean algorithm.</span>
Copy file name to clipboardExpand all lines: lib/node_modules/@stdlib/stats/base/meanpn/README.md
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@@ -124,7 +124,7 @@ var v = meanpn.ndarray( 4, x, 2, 1 );
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- If `N <= 0`, both functions return `NaN`.
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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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- Depending on the environment, the typed versions ([`dmeanpn`][@stdlib/stats/strided/dmeanpn], [`smeanpn`][@stdlib/stats/base/smeanpn], etc.) are likely to be significantly more performant.
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- Depending on the environment, the typed versions ([`dmeanpn`][@stdlib/stats/strided/dmeanpn], [`smeanpn`][@stdlib/stats/strided/smeanpn], etc.) are likely to be significantly more performant.
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</section>
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- <spanclass="package-name">[`@stdlib/stats/strided/dmeanpn`][@stdlib/stats/strided/dmeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a double-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/mean`][@stdlib/stats/base/mean]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a strided array.</span>
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- <spanclass="package-name">[`@stdlib/stats/base/nanmeanpn`][@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="package-name">[`@stdlib/stats/base/smeanpn`][@stdlib/stats/base/smeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <spanclass="package-name">[`@stdlib/stats/strided/smeanpn`][@stdlib/stats/strided/smeanpn]</span><spanclass="delimiter">: </span><spanclass="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dmean`][@stdlib/stats/strided/dmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmeanpn`][@stdlib/stats/strided/dnanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array, ignoring NaN values and using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/meanpn`][@stdlib/stats/base/meanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/smeanpn`][@stdlib/stats/base/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanpn`][@stdlib/stats/strided/smeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a two-pass error correction algorithm.</span>
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