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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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@@ -1104,7 +1104,7 @@ ns.push({
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'@stdlib/stats/strided/dnanmaxabs',
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'@stdlib/stats/strided/dnanmin',
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'@stdlib/stats/base/nanminabs',
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'@stdlib/stats/base/snanminabs'
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'@stdlib/stats/strided/snanminabs'
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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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@@ -143,7 +143,7 @@ ns.push({
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'@stdlib/stats/base/minabs',
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'@stdlib/stats/base/nanmaxabs',
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'@stdlib/stats/base/nanmin',
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'@stdlib/stats/base/snanminabs'
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'@stdlib/stats/strided/snanminabs'
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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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@@ -797,7 +797,7 @@ ns.push({
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'@stdlib/stats/base/minabs',
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'@stdlib/stats/strided/smaxabs',
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'@stdlib/stats/strided/smin',
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'@stdlib/stats/base/snanminabs'
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'@stdlib/stats/strided/snanminabs'
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]
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});
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@@ -1070,7 +1070,7 @@ ns.push({
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'@stdlib/stats/base/nanmaxabs',
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'@stdlib/stats/strided/smaxabs',
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'@stdlib/stats/strided/snanmax',
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'@stdlib/stats/base/snanminabs'
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'@stdlib/stats/strided/snanminabs'
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]
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});
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@@ -1140,8 +1140,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.snanminabs',
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'path': '@stdlib/stats/base/snanminabs',
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'value': require( '@stdlib/stats/base/snanminabs' ),
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'path': '@stdlib/stats/strided/snanminabs',
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'value': require( '@stdlib/stats/strided/snanminabs' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dnanminabs',

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

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@@ -207,7 +207,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`snanmeanpn( N, x, strideX )`][@stdlib/stats/strided/snanmeanpn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using a two-pass error correction algorithm.</span>
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- <span class="signature">[`snanmeanwd( N, x, strideX )`][@stdlib/stats/strided/snanmeanwd]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array, ignoring `NaN` values and using Welford's algorithm.</span>
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- <span class="signature">[`snanmin( N, x, strideX )`][@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="signature">[`snanminabs( N, x, strideX )`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring `NaN` values.</span>
210+
- <span class="signature">[`snanminabs( N, x, strideX )`][@stdlib/stats/strided/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value 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">[`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>
@@ -599,7 +599,7 @@ console.log( objectKeys( ns ) );
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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/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanminabs
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[@stdlib/stats/strided/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanminabs
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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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‎lib/node_modules/@stdlib/stats/base/nanminabs/README.md‎

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@@ -120,7 +120,7 @@ var v = nanminabs.ndarray( N, x, 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 ([`dnanminabs`][@stdlib/stats/strided/dnanminabs], [`snanminabs`][@stdlib/stats/base/snanminabs], etc.) are likely to be significantly more performant.
123+
- Depending on the environment, the typed versions ([`dnanminabs`][@stdlib/stats/strided/dnanminabs], [`snanminabs`][@stdlib/stats/strided/snanminabs], etc.) are likely to be significantly more performant.
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</section>
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@@ -171,7 +171,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/base/minabs`][@stdlib/stats/base/minabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmaxabs`][@stdlib/stats/base/nanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanmin`][@stdlib/stats/base/nanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanminabs`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanminabs`][@stdlib/stats/strided/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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</section>
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@@ -195,7 +195,7 @@ console.log( v );
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[@stdlib/stats/base/nanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmin
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[@stdlib/stats/base/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanminabs
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[@stdlib/stats/strided/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanminabs
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/dnanminabs/README.md‎

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@@ -284,7 +284,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanmaxabs`][@stdlib/stats/strided/dnanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a double-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dnanmin`][@stdlib/stats/strided/dnanmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanminabs`][@stdlib/stats/base/nanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanminabs`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanminabs`][@stdlib/stats/strided/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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</section>
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[@stdlib/stats/base/nanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanminabs
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[@stdlib/stats/base/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanminabs
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[@stdlib/stats/strided/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanminabs
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/sminabs/README.md‎

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@@ -274,7 +274,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/base/minabs`][@stdlib/stats/base/minabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smaxabs`][@stdlib/stats/strided/smaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smin`][@stdlib/stats/strided/smin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanminabs`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanminabs`][@stdlib/stats/strided/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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</section>
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[@stdlib/stats/strided/smin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smin
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[@stdlib/stats/base/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanminabs
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[@stdlib/stats/strided/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanminabs
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/strided/snanmaxabs/README.md‎

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@@ -284,7 +284,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/base/nanmaxabs`][@stdlib/stats/base/nanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smaxabs`][@stdlib/stats/strided/smaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array.</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/snanminabs`][@stdlib/stats/base/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanminabs`][@stdlib/stats/strided/snanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array, 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/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanminabs
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[@stdlib/stats/strided/snanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanminabs
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<!-- </related-links> -->
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