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refactor: update paths
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

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@@ -1118,7 +1118,7 @@ ns.push({
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'@stdlib/stats/strided/dnanmax',
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'@stdlib/stats/strided/dnanmskmin',
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'@stdlib/stats/base/nanmskmax',
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'@stdlib/stats/base/snanmskmax'
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'@stdlib/stats/strided/snanmskmax'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js

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@@ -171,7 +171,7 @@ ns.push({
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'@stdlib/stats/base/mskmax',
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'@stdlib/stats/base/nanmax',
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'@stdlib/stats/base/nanmskmin',
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'@stdlib/stats/base/snanmskmax'
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'@stdlib/stats/strided/snanmskmax'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js

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@@ -954,7 +954,7 @@ ns.push({
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'@stdlib/stats/strided/smax',
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'@stdlib/stats/strided/smskmin',
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'@stdlib/stats/strided/snanmax',
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'@stdlib/stats/base/snanmskmax'
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'@stdlib/stats/strided/snanmskmax'
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]
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});
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@@ -1154,8 +1154,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.snanmskmax',
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'path': '@stdlib/stats/base/snanmskmax',
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'value': require( '@stdlib/stats/base/snanmskmax' ),
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'path': '@stdlib/stats/strided/snanmskmax',
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'value': require( '@stdlib/stats/strided/snanmskmax' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanmskmax',
@@ -1176,7 +1176,7 @@ ns.push({
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'@stdlib/stats/base/nanmskmin',
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'@stdlib/stats/strided/smskmin',
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'@stdlib/stats/strided/snanmin',
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'@stdlib/stats/base/snanmskmax'
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'@stdlib/stats/strided/snanmskmax'
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]
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});
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@@ -1190,7 +1190,7 @@ ns.push({
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'@stdlib/stats/base/nanmskrange',
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'@stdlib/stats/strided/smskrange',
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'@stdlib/stats/strided/snanrange',
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'@stdlib/stats/base/snanmskmax',
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'@stdlib/stats/strided/snanmskmax',
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'@stdlib/stats/base/snanmskmin'
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]
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});

‎lib/node_modules/@stdlib/stats/base/README.md

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@@ -128,7 +128,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`smeanors( N, x, stride )`][@stdlib/stats/base/smeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using ordinary recursive summation.</span>
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- <span class="signature">[`smeanpn( N, x, strideX )`][@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="signature">[`snanmean( N, x, stride )`][@stdlib/stats/base/snanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`snanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/strided/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`snanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`snanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/snanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
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- <span class="signature">[`snanstdev( N, correction, x, stride )`][@stdlib/stats/base/snanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring `NaN` values.</span>
@@ -351,7 +351,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/snanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmean
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[@stdlib/stats/base/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmax
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[@stdlib/stats/strided/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmax
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[@stdlib/stats/base/snanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmin
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‎lib/node_modules/@stdlib/stats/base/nanmskmax/README.md

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@@ -129,7 +129,7 @@ var v = nanmskmax.ndarray( N, x, 2, 1, mask, 2, 1 );
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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 ([`dnanmskmax`][@stdlib/stats/strided/dnanmskmax], [`snanmskmax`][@stdlib/stats/base/snanmskmax], etc.) are likely to be significantly more performant.
132+
- Depending on the environment, the typed versions ([`dnanmskmax`][@stdlib/stats/strided/dnanmskmax], [`snanmskmax`][@stdlib/stats/strided/snanmskmax], etc.) are likely to be significantly more performant.
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</section>
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@@ -189,7 +189,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/mskmax`][@stdlib/stats/base/mskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmax`][@stdlib/stats/base/nanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmskmin`][@stdlib/stats/base/nanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmskmax`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmskmax`][@stdlib/stats/strided/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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</section>
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[@stdlib/stats/base/nanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmskmin
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[@stdlib/stats/base/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmax
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[@stdlib/stats/strided/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmax
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/snanmskmin/README.md

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- <span class="package-name">[`@stdlib/stats/base/nanmskmin`][@stdlib/stats/base/nanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array according to a mask, ignoring NaN values.</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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- <span class="package-name">[`@stdlib/stats/strided/snanmin`][@stdlib/stats/strided/snanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmskmax`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmskmax`][@stdlib/stats/strided/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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</section>
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[@stdlib/stats/strided/snanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmin
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[@stdlib/stats/base/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmax
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[@stdlib/stats/strided/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmax
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/snanmskrange/README.md

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- <span class="package-name">[`@stdlib/stats/base/nanmskrange`][@stdlib/stats/base/nanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smskrange`][@stdlib/stats/strided/smskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array according to a mask.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanrange`][@stdlib/stats/strided/snanrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmskmax`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmskmax`][@stdlib/stats/strided/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmskmin`][@stdlib/stats/base/snanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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</section>
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[@stdlib/stats/strided/snanrange]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanrange
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[@stdlib/stats/base/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmax
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[@stdlib/stats/strided/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmax
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[@stdlib/stats/base/snanmskmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmin
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‎lib/node_modules/@stdlib/stats/strided/dnanmskmax/README.md

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- <span class="package-name">[`@stdlib/stats/strided/dnanmax`][@stdlib/stats/strided/dnanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a double-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmskmin`][@stdlib/stats/strided/dnanmskmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmskmax`][@stdlib/stats/base/nanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmskmax`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmskmax`][@stdlib/stats/strided/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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</section>
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[@stdlib/stats/base/nanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmskmax
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[@stdlib/stats/base/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmax
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[@stdlib/stats/strided/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmax
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/smskmax/README.md

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- <span class="package-name">[`@stdlib/stats/strided/smax`][@stdlib/stats/strided/smax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array.</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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- <span class="package-name">[`@stdlib/stats/strided/snanmax`][@stdlib/stats/strided/snanmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmskmax`][@stdlib/stats/base/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmskmax`][@stdlib/stats/strided/snanmskmax]</span><span class="delimiter">: </span><span class="description">calculate the maximum value of a single-precision floating-point strided array according to a mask, ignoring NaN values.</span>
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</section>
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[@stdlib/stats/strided/snanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmax
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[@stdlib/stats/base/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanmskmax
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[@stdlib/stats/strided/snanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmskmax
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<!-- </related-links> -->
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