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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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@@ -711,7 +711,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmin',
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'@stdlib/stats/strided/dmaxabs',
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'@stdlib/stats/base/dnanminabs',
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'@stdlib/stats/strided/dnanminabs',
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'@stdlib/stats/base/minabs',
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'@stdlib/stats/base/sminabs'
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]
@@ -1011,7 +1011,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmaxabs',
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'@stdlib/stats/strided/dnanmax',
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'@stdlib/stats/base/dnanminabs',
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'@stdlib/stats/strided/dnanminabs',
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'@stdlib/stats/base/nanmaxabs',
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'@stdlib/stats/base/snanmaxabs'
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]
@@ -1096,8 +1096,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.dnanminabs',
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'path': '@stdlib/stats/base/dnanminabs',
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'value': require( '@stdlib/stats/base/dnanminabs' ),
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'path': '@stdlib/stats/strided/dnanminabs',
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'value': require( '@stdlib/stats/strided/dnanminabs' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dminabs',

‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/n.js‎

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@@ -139,7 +139,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/nanminabs' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanminabs',
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'@stdlib/stats/strided/dnanminabs',
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'@stdlib/stats/base/minabs',
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'@stdlib/stats/base/nanmaxabs',
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'@stdlib/stats/base/nanmin',

‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/s.js‎

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@@ -1144,7 +1144,7 @@ ns.push({
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'value': require( '@stdlib/stats/base/snanminabs' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/base/dnanminabs',
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'@stdlib/stats/strided/dnanminabs',
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'@stdlib/stats/base/nanminabs',
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'@stdlib/stats/base/sminabs',
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'@stdlib/stats/base/snanmaxabs',

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

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@@ -75,7 +75,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`dnanmeanpw( N, x, strideX )`][@stdlib/stats/base/dnanmeanpw]</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 pairwise summation.</span>
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- <span class="signature">[`dnanmeanwd( N, x, strideX )`][@stdlib/stats/base/dnanmeanwd]</span><span class="delimiter">: </span><span class="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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- <span class="signature">[`dnanmin( N, x, strideX )`][@stdlib/stats/base/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>
78-
- <span class="signature">[`dnanminabs( N, x, strideX )`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
78+
- <span class="signature">[`dnanminabs( N, x, strideX )`][@stdlib/stats/strided/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring `NaN` values.</span>
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- <span class="signature">[`dnanmskmax( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskmax]</span><span class="delimiter">: </span><span class="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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- <span class="signature">[`dnanmskmin( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/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="signature">[`dnanmskrange( N, x, strideX, mask, strideMask )`][@stdlib/stats/base/dnanmskrange]</span><span class="delimiter">: </span><span class="description">calculate the range of a double-precision floating-point strided array according to a mask, ignoring `NaN` values.</span>
@@ -337,7 +337,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/dnanmin]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmin
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[@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs
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[@stdlib/stats/strided/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanminabs
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[@stdlib/stats/base/dnanmskmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanmskmax
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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/base/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/base/snanminabs], etc.) are likely to be significantly more performant.
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125125
</section>
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@@ -167,7 +167,7 @@ console.log( v );
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanminabs`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum 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/dnanminabs`][@stdlib/stats/strided/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.</span>
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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>
@@ -187,7 +187,7 @@ console.log( v );
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188188
<!-- <related-links> -->
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190-
[@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs
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[@stdlib/stats/strided/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanminabs
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[@stdlib/stats/base/minabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/minabs
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‎lib/node_modules/@stdlib/stats/base/snanminabs/README.md‎

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@@ -280,7 +280,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/stats/base/dnanminabs`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum 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/dnanminabs`][@stdlib/stats/strided/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute 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/sminabs`][@stdlib/stats/base/sminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanmaxabs`][@stdlib/stats/base/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
@@ -300,7 +300,7 @@ int main( void ) {
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<!-- <related-links> -->
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[@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs
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[@stdlib/stats/strided/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanminabs
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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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‎lib/node_modules/@stdlib/stats/strided/dminabs/README.md‎

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@@ -272,7 +272,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dmin`][@stdlib/stats/strided/dmin]</span><span class="delimiter">: </span><span class="description">calculate the minimum value of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dmaxabs`][@stdlib/stats/strided/dmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/dnanminabs`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum 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/dnanminabs`][@stdlib/stats/strided/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.</span>
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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/sminabs`][@stdlib/stats/base/sminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a single-precision floating-point strided array.</span>
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@@ -294,7 +294,7 @@ int main( void ) {
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[@stdlib/stats/strided/dmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmaxabs
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[@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs
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[@stdlib/stats/strided/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanminabs
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[@stdlib/stats/base/minabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/minabs
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‎lib/node_modules/@stdlib/stats/strided/dnanmaxabs/README.md‎

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@@ -282,7 +282,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dmaxabs`][@stdlib/stats/strided/dmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a double-precision floating-point strided array.</span>
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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/base/dnanminabs`][@stdlib/stats/base/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum 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/dnanminabs`][@stdlib/stats/strided/dnanminabs]</span><span class="delimiter">: </span><span class="description">calculate the minimum absolute value of a double-precision floating-point strided array, ignoring NaN values.</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/snanmaxabs`][@stdlib/stats/base/snanmaxabs]</span><span class="delimiter">: </span><span class="description">calculate the maximum absolute value of a single-precision floating-point strided array, ignoring NaN values.</span>
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[@stdlib/stats/strided/dnanmax]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanmax
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[@stdlib/stats/base/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/dnanminabs
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[@stdlib/stats/strided/dnanminabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dnanminabs
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[@stdlib/stats/base/nanmaxabs]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmaxabs
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