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refactor: update paths
Ref: #4797 --- type: pre_commit_static_analysis_report description: Results of running static analysis checks when committing changes. report: - task: lint_filenames status: passed - task: lint_editorconfig status: passed - task: lint_markdown status: passed - task: lint_package_json status: na - task: lint_repl_help status: na - task: lint_javascript_src status: passed - task: lint_javascript_cli status: na - task: lint_javascript_examples status: na - task: lint_javascript_tests status: na - task: lint_javascript_benchmarks status: na - task: lint_python status: na - task: lint_r status: na - task: lint_c_src status: na - task: lint_c_examples status: na - task: lint_c_benchmarks status: na - task: lint_c_tests_fixtures status: na - task: lint_shell status: na - task: lint_typescript_declarations status: na - task: lint_typescript_tests status: na - task: lint_license_headers status: passed ---
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‎lib/node_modules/@stdlib/namespace/lib/namespace/base/strided/d.js

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1991,7 +1991,7 @@ ns.push({
19911991
'@stdlib/stats/strided/dnanstdev',
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'@stdlib/stats/base/dstdevm',
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'@stdlib/stats/strided/dvariance',
1994-
'@stdlib/stats/base/sstdev',
1994+
'@stdlib/stats/strided/sstdev',
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'@stdlib/stats/base/stdev'
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]
19971997
});

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

Lines changed: 10 additions & 10 deletions
Original file line numberDiff line numberDiff line change
@@ -1219,7 +1219,7 @@ ns.push({
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'@stdlib/stats/base/nanstdev',
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'@stdlib/stats/base/smskstdev',
12211221
'@stdlib/stats/base/snanvariance',
1222-
'@stdlib/stats/base/sstdev'
1222+
'@stdlib/stats/strided/sstdev'
12231223
]
12241224
});
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@@ -1615,8 +1615,8 @@ ns.push({
16151615

16161616
ns.push({
16171617
'alias': 'base.strided.sstdev',
1618-
'path': '@stdlib/stats/base/sstdev',
1619-
'value': require( '@stdlib/stats/base/sstdev' ),
1618+
'path': '@stdlib/stats/strided/sstdev',
1619+
'value': require( '@stdlib/stats/strided/sstdev' ),
16201620
'type': 'Function',
16211621
'related': [
16221622
'@stdlib/stats/strided/dstdev',
@@ -1635,7 +1635,7 @@ ns.push({
16351635
'related': [
16361636
'@stdlib/stats/strided/dstdevch',
16371637
'@stdlib/stats/base/snanstdevch',
1638-
'@stdlib/stats/base/sstdev',
1638+
'@stdlib/stats/strided/sstdev',
16391639
'@stdlib/stats/base/stdevch',
16401640
'@stdlib/stats/strided/svariancech'
16411641
]
@@ -1649,7 +1649,7 @@ ns.push({
16491649
'related': [
16501650
'@stdlib/stats/strided/dstdevpn',
16511651
'@stdlib/stats/base/snanstdevpn',
1652-
'@stdlib/stats/base/sstdev',
1652+
'@stdlib/stats/strided/sstdev',
16531653
'@stdlib/stats/base/sstdevmpn',
16541654
'@stdlib/stats/base/stdevpn',
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'@stdlib/stats/strided/svariancepn'
@@ -1664,7 +1664,7 @@ ns.push({
16641664
'related': [
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'@stdlib/stats/strided/dstdevtk',
16661666
'@stdlib/stats/base/snanstdevtk',
1667-
'@stdlib/stats/base/sstdev',
1667+
'@stdlib/stats/strided/sstdev',
16681668
'@stdlib/stats/base/stdevtk',
16691669
'@stdlib/stats/strided/svariancetk'
16701670
]
@@ -1678,7 +1678,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dstdevwd',
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'@stdlib/stats/base/snanstdevwd',
1681-
'@stdlib/stats/base/sstdev',
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'@stdlib/stats/strided/sstdev',
16821682
'@stdlib/stats/base/stdevwd',
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'@stdlib/stats/base/svariancewd'
16841684
]
@@ -1692,7 +1692,7 @@ ns.push({
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'related': [
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'@stdlib/stats/strided/dstdevyc',
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'@stdlib/stats/base/snanstdevyc',
1695-
'@stdlib/stats/base/sstdev',
1695+
'@stdlib/stats/strided/sstdev',
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'@stdlib/stats/base/stdevyc',
16971697
'@stdlib/stats/strided/svarianceyc'
16981698
]
@@ -1795,7 +1795,7 @@ ns.push({
17951795
'related': [
17961796
'@stdlib/stats/strided/dstdev',
17971797
'@stdlib/stats/base/nanstdev',
1798-
'@stdlib/stats/base/sstdev',
1798+
'@stdlib/stats/strided/sstdev',
17991799
'@stdlib/stats/base/stdevm',
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'@stdlib/stats/base/variance'
18011801
]
@@ -1898,7 +1898,7 @@ ns.push({
18981898
'related': [
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'@stdlib/stats/strided/dvariance',
19001900
'@stdlib/stats/base/snanvariance',
1901-
'@stdlib/stats/base/sstdev',
1901+
'@stdlib/stats/strided/sstdev',
19021902
'@stdlib/stats/base/svarm',
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'@stdlib/stats/base/variance'
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]

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

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@@ -137,7 +137,7 @@ The namespace contains the following statistical functions:
137137
- <span class="signature">[`snanvariancetk( N, correction, x, stride )`][@stdlib/stats/base/snanvariancetk]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass textbook algorithm.</span>
138138
- <span class="signature">[`snanvariancewd( N, correction, x, stride )`][@stdlib/stats/base/snanvariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using Welford's algorithm.</span>
139139
- <span class="signature">[`snanvarianceyc( N, correction, x, stride )`][@stdlib/stats/base/snanvarianceyc]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring `NaN` values and using a one-pass algorithm proposed by Youngs and Cramer.</span>
140-
- <span class="signature">[`sstdev( N, correction, x, strideX )`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
140+
- <span class="signature">[`sstdev( N, correction, x, strideX )`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
141141
- <span class="signature">[`sstdevwd( N, correction, x, stride )`][@stdlib/stats/base/sstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array using Welford's algorithm.</span>
142142
- <span class="signature">[`stdev( N, correction, x, stride )`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
143143
- <span class="signature">[`stdevch( N, correction, x, stride )`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
@@ -363,7 +363,7 @@ console.log( objectKeys( ns ) );
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[@stdlib/stats/base/snanvarianceyc]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvarianceyc
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366-
[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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368368
[@stdlib/stats/base/sstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdevwd
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‎lib/node_modules/@stdlib/stats/base/snanstdev/README.md

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@@ -239,7 +239,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdev`][@stdlib/stats/strided/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
241241
- <span class="package-name">[`@stdlib/stats/base/snanvariance`][@stdlib/stats/base/snanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values.</span>
242-
- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
242+
- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
243243

244244
</section>
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@@ -263,7 +263,7 @@ console.log( v );
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[@stdlib/stats/base/snanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariance
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266-
[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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<!-- </related-links> -->
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‎lib/node_modules/@stdlib/stats/base/sstdevwd/README.md

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@@ -247,7 +247,7 @@ console.log( v );
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248248
- <span class="package-name">[`@stdlib/stats/strided/dstdevwd`][@stdlib/stats/strided/dstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using Welford's algorithm.</span>
249249
- <span class="package-name">[`@stdlib/stats/base/snanstdevwd`][@stdlib/stats/base/snanstdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using Welford's algorithm.</span>
250-
- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
250+
- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevwd`][@stdlib/stats/base/stdevwd]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using Welford's algorithm.</span>
252252
- <span class="package-name">[`@stdlib/stats/base/svariancewd`][@stdlib/stats/base/svariancewd]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using Welford's algorithm.</span>
253253

@@ -275,7 +275,7 @@ console.log( v );
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276276
[@stdlib/stats/base/snanstdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevwd
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278-
[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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[@stdlib/stats/base/stdevwd]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevwd
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‎lib/node_modules/@stdlib/stats/base/stdev/README.md

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@@ -182,7 +182,7 @@ var v = stdev.ndarray( N, 1, x, 2, 1 );
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183183
- If `N <= 0`, both functions return `NaN`.
184184
- If `N - c` is less than or equal to `0` (where `c` corresponds to the provided degrees of freedom adjustment), both functions return `NaN`.
185-
- Depending on the environment, the typed versions ([`dstdev`][@stdlib/stats/strided/dstdev], [`sstdev`][@stdlib/stats/base/sstdev], etc.) are likely to be significantly more performant.
185+
- Depending on the environment, the typed versions ([`dstdev`][@stdlib/stats/strided/dstdev], [`sstdev`][@stdlib/stats/strided/sstdev], etc.) are likely to be significantly more performant.
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187187
</section>
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@@ -233,7 +233,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dstdev`][@stdlib/stats/strided/dstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/nanstdev`][@stdlib/stats/base/nanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array ignoring NaN values.</span>
236-
- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
236+
- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
237237
- <span class="package-name">[`@stdlib/stats/base/variance`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
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239239
</section>
@@ -256,7 +256,7 @@ console.log( v );
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[@stdlib/stats/base/nanstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/nanstdev
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[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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[@stdlib/stats/base/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variance
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‎lib/node_modules/@stdlib/stats/base/svariance/README.md

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@@ -240,7 +240,7 @@ console.log( v );
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- <span class="package-name">[`@stdlib/stats/strided/dvariance`][@stdlib/stats/strided/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
242242
- <span class="package-name">[`@stdlib/stats/base/snanvariance`][@stdlib/stats/base/snanvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array ignoring NaN values.</span>
243-
- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
243+
- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/variance`][@stdlib/stats/base/variance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a strided array.</span>
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</section>
@@ -263,7 +263,7 @@ console.log( v );
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[@stdlib/stats/base/snanvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanvariance
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[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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[@stdlib/stats/base/variance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/variance
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‎lib/node_modules/@stdlib/stats/strided/dstdev/README.md

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@@ -344,7 +344,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dnanstdev`][@stdlib/stats/strided/dnanstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array ignoring NaN values.</span>
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- <span class="package-name">[`@stdlib/stats/strided/dvariance`][@stdlib/stats/strided/dvariance]</span><span class="delimiter">: </span><span class="description">calculate the variance of a double-precision floating-point strided array.</span>
347-
- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
347+
- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdev`][@stdlib/stats/base/stdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array.</span>
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</section>
@@ -367,7 +367,7 @@ int main( void ) {
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[@stdlib/stats/strided/dvariance]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/dvariance
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[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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[@stdlib/stats/base/stdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdev
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‎lib/node_modules/@stdlib/stats/strided/sstdevch/README.md

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@@ -354,7 +354,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dstdevch`][@stdlib/stats/strided/dstdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdevch`][@stdlib/stats/base/snanstdevch]</span><span class="delimiter">: </span><span class="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>
357-
- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
357+
- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
358358
- <span class="package-name">[`@stdlib/stats/base/stdevch`][@stdlib/stats/base/stdevch]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a one-pass trial mean algorithm.</span>
359359
- <span class="package-name">[`@stdlib/stats/strided/svariancech`][@stdlib/stats/strided/svariancech]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a one-pass trial mean algorithm.</span>
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@@ -386,7 +386,7 @@ int main( void ) {
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[@stdlib/stats/base/snanstdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevch
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[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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[@stdlib/stats/base/stdevch]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevch
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‎lib/node_modules/@stdlib/stats/strided/sstdevpn/README.md

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@@ -351,7 +351,7 @@ int main( void ) {
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- <span class="package-name">[`@stdlib/stats/strided/dstdevpn`][@stdlib/stats/strided/dstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a double-precision floating-point strided array using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/base/snanstdevpn`][@stdlib/stats/base/snanstdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array ignoring NaN values and using a two-pass algorithm.</span>
354-
- <span class="package-name">[`@stdlib/stats/base/sstdev`][@stdlib/stats/base/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/strided/sstdev`][@stdlib/stats/strided/sstdev]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a single-precision floating-point strided array.</span>
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- <span class="package-name">[`@stdlib/stats/base/stdevpn`][@stdlib/stats/base/stdevpn]</span><span class="delimiter">: </span><span class="description">calculate the standard deviation of a strided array using a two-pass algorithm.</span>
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- <span class="package-name">[`@stdlib/stats/strided/svariancepn`][@stdlib/stats/strided/svariancepn]</span><span class="delimiter">: </span><span class="description">calculate the variance of a single-precision floating-point strided array using a two-pass algorithm.</span>
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@@ -379,7 +379,7 @@ int main( void ) {
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[@stdlib/stats/base/snanstdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/snanstdevpn
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[@stdlib/stats/base/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/sstdev
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[@stdlib/stats/strided/sstdev]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/strided/sstdev
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[@stdlib/stats/base/stdevpn]: https://github.com/stdlib-js/stdlib/tree/develop/lib/node_modules/%40stdlib/stats/base/stdevpn
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