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refactor: update paths
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‎lib/node_modules/@stdlib/blas/ext/base/ssum/README.md‎

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@@ -277,7 +277,7 @@ int main( void ) {
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## See Also
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- <span class="package-name">[`@stdlib/blas/ext/base/dsum`][@stdlib/blas/ext/base/dsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of double-precision floating-point strided array elements.</span>
280-
- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
280+
- <span class="package-name">[`@stdlib/stats/strided/smean`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/snansum`][@stdlib/blas/ext/base/snansum]</span><span class="delimiter">: </span><span class="description">calculate the sum of single-precision floating-point strided array elements, ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/blas/ext/base/gsum`][@stdlib/blas/ext/base/gsum]</span><span class="delimiter">: </span><span class="description">calculate the sum of strided array elements.</span>
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@@ -297,7 +297,7 @@ int main( void ) {
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[@stdlib/blas/ext/base/dsum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/dsum
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[@stdlib/stats/base/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smean
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[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
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[@stdlib/blas/ext/base/snansum]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/blas/ext/base/snansum
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js‎

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@@ -488,7 +488,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dnanmean',
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'@stdlib/stats/base/mean',
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'@stdlib/stats/base/smean'
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'@stdlib/stats/strided/smean'
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]
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});
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@@ -1684,7 +1684,7 @@ ns.push({
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'@stdlib/stats/strided/dsnanmean',
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'@stdlib/stats/base/mean',
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'@stdlib/stats/strided/sdsmean',
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'@stdlib/stats/base/smean'
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'@stdlib/stats/strided/smean'
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]
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});
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/m.js‎

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@@ -121,7 +121,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmean',
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'@stdlib/stats/base/nanmean',
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'@stdlib/stats/base/smean'
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'@stdlib/stats/strided/smean'
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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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@@ -407,7 +407,7 @@ ns.push({
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'@stdlib/stats/strided/dsmean',
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'@stdlib/stats/base/mean',
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'@stdlib/stats/base/sdsnanmean',
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'@stdlib/stats/base/smean'
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'@stdlib/stats/strided/smean'
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]
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});
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@@ -626,8 +626,8 @@ ns.push({
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ns.push({
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'alias': 'base.strided.smean',
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'path': '@stdlib/stats/base/smean',
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'value': require( '@stdlib/stats/base/smean' ),
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'path': '@stdlib/stats/strided/smean',
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'value': require( '@stdlib/stats/strided/smean' ),
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'type': 'Function',
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'related': [
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'@stdlib/stats/strided/dmean',
@@ -646,7 +646,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeankbn',
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'@stdlib/stats/base/meankbn',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/base/snanmeankbn'
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]
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});
@@ -659,7 +659,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeankbn2',
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'@stdlib/stats/base/meankbn2',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/base/snanmeankbn2'
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]
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});
@@ -672,7 +672,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanli',
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'@stdlib/stats/base/meanli',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/base/smeanlipw',
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'@stdlib/stats/base/snanmeanli'
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]
@@ -686,7 +686,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanlipw',
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'@stdlib/stats/base/meanlipw',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/strided/smeanli',
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'@stdlib/stats/base/snanmeanlipw'
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]
@@ -700,7 +700,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanors',
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'@stdlib/stats/base/meanors',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/strided/snanmeanors'
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]
706706
});
@@ -713,7 +713,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanpn',
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'@stdlib/stats/base/meanpn',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/strided/snanmeanpn'
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]
719719
});
@@ -726,7 +726,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanpw',
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'@stdlib/stats/base/meanpw',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/base/snanmeanpw'
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]
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});
@@ -739,7 +739,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmeanwd',
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'@stdlib/stats/base/meanwd',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/strided/snanmeanwd'
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]
745745
});
@@ -752,7 +752,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dmediansorted',
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'@stdlib/stats/base/mediansorted',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/base/smedian',
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'@stdlib/stats/base/snanmediansorted'
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]
@@ -767,7 +767,7 @@ ns.push({
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'@stdlib/stats/strided/dmidrange',
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'@stdlib/stats/base/midrange',
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'@stdlib/stats/strided/smax',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/strided/smin',
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'@stdlib/stats/base/snanmidrange',
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'@stdlib/stats/strided/srange'
@@ -1081,7 +1081,7 @@ ns.push({
10811081
'type': 'Function',
10821082
'related': [
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'@stdlib/stats/strided/dnanmean',
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'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/stats/base/nanmean'
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]
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});
@@ -1706,7 +1706,7 @@ ns.push({
17061706
'related': [
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'@stdlib/blas/ext/base/dsum',
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'@stdlib/blas/ext/base/sasum',
1709-
'@stdlib/stats/base/smean',
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'@stdlib/stats/strided/smean',
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'@stdlib/blas/ext/base/snansum',
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'@stdlib/blas/ext/base/gsum'
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]

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

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@@ -118,7 +118,7 @@ The namespace contains the following statistical functions:
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- <span class="signature">[`range( N, x, strideX )`][@stdlib/stats/base/range]</span><span class="delimiter">: </span><span class="description">calculate the range of a strided array.</span>
119119
- <span class="signature">[`sdsnanmean( N, x, stride )`][@stdlib/stats/base/sdsnanmean]</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 extended accumulation.</span>
120120
- <span class="signature">[`sdsnanmeanors( N, x, stride )`][@stdlib/stats/base/sdsnanmeanors]</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 ordinary recursive summation with extended accumulation.</span>
121-
- <span class="signature">[`smean( N, x, strideX )`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
121+
- <span class="signature">[`smean( N, x, strideX )`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
122122
- <span class="signature">[`smeankbn( N, x, stride )`][@stdlib/stats/base/smeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="signature">[`smeankbn2( N, x, stride )`][@stdlib/stats/base/smeankbn2]</span><span class="delimiter">: </span><span class="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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- <span class="signature">[`smeanlipw( N, x, stride )`][@stdlib/stats/base/smeanlipw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
@@ -325,7 +325,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/sdsnanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sdsnanmeanors
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328-
[@stdlib/stats/base/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smean
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[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
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[@stdlib/stats/base/smeankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smeankbn
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‎lib/node_modules/@stdlib/stats/base/mean/README.md‎

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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]).
128-
- Depending on the environment, the typed versions ([`dmean`][@stdlib/stats/strided/dmean], [`smean`][@stdlib/stats/base/smean], etc.) are likely to be significantly more performant.
128+
- Depending on the environment, the typed versions ([`dmean`][@stdlib/stats/strided/dmean], [`smean`][@stdlib/stats/strided/smean], etc.) are likely to be significantly more performant.
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</section>
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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/base/nanmean`][@stdlib/stats/base/nanmean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array, ignoring NaN values.</span>
167-
- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
167+
- <span class="package-name">[`@stdlib/stats/strided/smean`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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</section>
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[@stdlib/stats/base/nanmean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanmean
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[@stdlib/stats/base/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smean
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[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/smeankbn/README.md‎

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- <span class="package-name">[`@stdlib/stats/strided/dmeankbn`][@stdlib/stats/strided/dmeankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using an improved Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/meankbn`][@stdlib/stats/base/meankbn]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using an improved Kahan–Babuška algorithm.</span>
200-
- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
200+
- <span class="package-name">[`@stdlib/stats/strided/smean`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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</section>
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[@stdlib/stats/base/meankbn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meankbn
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[@stdlib/stats/base/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smean
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[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/smeankbn2/README.md‎

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- <span class="package-name">[`@stdlib/stats/strided/dmeankbn2`][@stdlib/stats/strided/dmeankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a second-order iterative Kahan–Babuška algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/meankbn2`][@stdlib/stats/base/meankbn2]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using a second-order iterative Kahan–Babuška algorithm.</span>
200-
- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
200+
- <span class="package-name">[`@stdlib/stats/strided/smean`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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</section>
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@@ -221,7 +221,7 @@ console.log( v );
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[@stdlib/stats/base/meankbn2]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meankbn2
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[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/smeanlipw/README.md‎

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## See Also
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- <span class="package-name">[`@stdlib/stats/strided/dmeanlipw`][@stdlib/stats/strided/dmeanlipw]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using a one-pass trial mean algorithm with pairwise summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smean`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/smeanli`][@stdlib/stats/strided/smeanli]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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</section>
@@ -229,7 +229,7 @@ console.log( v );
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[@stdlib/stats/strided/dmeanlipw]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dmeanlipw
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[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
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‎lib/node_modules/@stdlib/stats/base/smeanors/README.md‎

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- <span class="package-name">[`@stdlib/stats/strided/dmeanors`][@stdlib/stats/strided/dmeanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a double-precision floating-point strided array using ordinary recursive summation.</span>
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- <span class="package-name">[`@stdlib/stats/base/meanors`][@stdlib/stats/base/meanors]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a strided array using ordinary recursive summation.</span>
195-
- <span class="package-name">[`@stdlib/stats/base/smean`][@stdlib/stats/base/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
195+
- <span class="package-name">[`@stdlib/stats/strided/smean`][@stdlib/stats/strided/smean]</span><span class="delimiter">: </span><span class="description">calculate the arithmetic mean of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/snanmeanors`][@stdlib/stats/strided/snanmeanors]</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 ordinary recursive summation.</span>
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</section>
@@ -215,7 +215,7 @@ console.log( v );
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[@stdlib/stats/base/meanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/meanors
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[@stdlib/stats/base/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/smean
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[@stdlib/stats/strided/smean]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/smean
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[@stdlib/stats/strided/snanmeanors]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/snanmeanors
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