{"id":26847666,"url":"https://github.com/stdlib-js/stats-strided-smskrange","last_synced_at":"2025-03-30T20:22:50.328Z","repository":{"id":285169838,"uuid":"957267413","full_name":"stdlib-js/stats-strided-smskrange","owner":"stdlib-js","description":"Calculate the range of a single-precision floating-point strided array according to a mask.","archived":false,"fork":false,"pushed_at":"2025-03-30T01:09:25.000Z","size":198,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-03-30T01:36:03.822Z","etag":null,"topics":["dispersion","domain","extent","extremes","javascript","math","mathematics","max","maximum","min","minimum","node","node-js","nodejs","range","statistics","stats","stdlib","strided","strided-array"],"latest_commit_sha":null,"homepage":"https://github.com/stdlib-js/stdlib","language":"JavaScript","has_issues":false,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"apache-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/stdlib-js.png","metadata":{"files":{"readme":"README.md","changelog":"CHANGELOG.md","contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":"CITATION.cff","codeowners":null,"security":"SECURITY.md","support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null},"funding":{"github":["stdlib-js"],"open_collective":"stdlib","tidelift":"npm/@stdlib/stdlib"}},"created_at":"2025-03-30T00:01:42.000Z","updated_at":"2025-03-30T00:51:15.000Z","dependencies_parsed_at":"2025-03-30T01:46:07.817Z","dependency_job_id":null,"html_url":"https://github.com/stdlib-js/stats-strided-smskrange","commit_stats":null,"previous_names":["stdlib-js/stats-strided-smskrange"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-smskrange","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-smskrange/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-smskrange/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/stdlib-js%2Fstats-strided-smskrange/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/stdlib-js","download_url":"https://codeload.github.com/stdlib-js/stats-strided-smskrange/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246374267,"owners_count":20766867,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["dispersion","domain","extent","extremes","javascript","math","mathematics","max","maximum","min","minimum","node","node-js","nodejs","range","statistics","stats","stdlib","strided","strided-array"],"created_at":"2025-03-30T20:22:49.176Z","updated_at":"2025-03-30T20:22:50.286Z","avatar_url":"https://github.com/stdlib-js.png","language":"JavaScript","readme":"\u003c!--\n\n@license Apache-2.0\n\nCopyright (c) 2020 The Stdlib Authors.\n\nLicensed under the Apache License, Version 2.0 (the \"License\");\nyou may not use this file except in compliance with the License.\nYou may obtain a copy of the License at\n\n   http://www.apache.org/licenses/LICENSE-2.0\n\nUnless required by applicable law or agreed to in writing, software\ndistributed under the License is distributed on an \"AS IS\" BASIS,\nWITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\nSee the License for the specific language governing permissions and\nlimitations under the License.\n\n--\u003e\n\n\n\u003cdetails\u003e\n  \u003csummary\u003e\n    About stdlib...\n  \u003c/summary\u003e\n  \u003cp\u003eWe believe in a future in which the web is a preferred environment for numerical computation. To help realize this future, we've built stdlib. stdlib is a standard library, with an emphasis on numerical and scientific computation, written in JavaScript (and C) for execution in browsers and in Node.js.\u003c/p\u003e\n  \u003cp\u003eThe library is fully decomposable, being architected in such a way that you can swap out and mix and match APIs and functionality to cater to your exact preferences and use cases.\u003c/p\u003e\n  \u003cp\u003eWhen you use stdlib, you can be absolutely certain that you are using the most thorough, rigorous, well-written, studied, documented, tested, measured, and high-quality code out there.\u003c/p\u003e\n  \u003cp\u003eTo join us in bringing numerical computing to the web, get started by checking us out on \u003ca href=\"https://github.com/stdlib-js/stdlib\"\u003eGitHub\u003c/a\u003e, and please consider \u003ca href=\"https://opencollective.com/stdlib\"\u003efinancially supporting stdlib\u003c/a\u003e. We greatly appreciate your continued support!\u003c/p\u003e\n\u003c/details\u003e\n\n# smskrange\n\n[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] \u003c!-- [![dependencies][dependencies-image]][dependencies-url] --\u003e\n\n\u003e Calculate the [range][range] of a single-precision floating-point strided array according to a mask.\n\n\u003csection class=\"intro\"\u003e\n\nThe [**range**][range] is defined as the difference between the maximum and minimum values.\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003csection class=\"installation\"\u003e\n\n## Installation\n\n```bash\nnpm install @stdlib/stats-strided-smskrange\n```\n\nAlternatively,\n\n-   To load the package in a website via a `script` tag without installation and bundlers, use the [ES Module][es-module] available on the [`esm`][esm-url] branch (see [README][esm-readme]).\n-   If you are using Deno, visit the [`deno`][deno-url] branch (see [README][deno-readme] for usage intructions).\n-   For use in Observable, or in browser/node environments, use the [Universal Module Definition (UMD)][umd] build available on the [`umd`][umd-url] branch (see [README][umd-readme]).\n\nThe [branches.md][branches-url] file summarizes the available branches and displays a diagram illustrating their relationships.\n\nTo view installation and usage instructions specific to each branch build, be sure to explicitly navigate to the respective README files on each branch, as linked to above.\n\n\u003c/section\u003e\n\n\u003csection class=\"usage\"\u003e\n\n## Usage\n\n```javascript\nvar smskrange = require( '@stdlib/stats-strided-smskrange' );\n```\n\n#### smskrange( N, x, strideX, mask, strideMask )\n\nComputes the [range][range] of a single-precision floating-point strided array according to a mask.\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\n\nvar x = new Float32Array( [ 1.0, -2.0, 4.0, 2.0 ] );\nvar mask = new Uint8Array( [ 0, 0, 1, 0 ] );\n\nvar v = smskrange( x.length, x, 1, mask, 1 );\n// returns 4.0\n```\n\nThe function has the following parameters:\n\n-   **N**: number of indexed elements.\n-   **x**: input [`Float32Array`][@stdlib/array/float32].\n-   **strideX**: stride length for `x`.\n-   **mask**: mask [`Uint8Array`][@stdlib/array/uint8]. If a `mask` array element is `0`, the corresponding element in `x` is considered valid and **included** in computation. If a `mask` array element is `1`, the corresponding element in `x` is considered invalid/missing and **excluded** from computation.\n-   **strideMask**: stride length for `mask`.\n\nThe `N` and stride parameters determine which elements in the strided arrays are accessed at runtime. For example, to compute the [range][range] of every other element in `x`,\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\n\nvar x = new Float32Array( [ 1.0, 2.0, -7.0, -2.0, 4.0, 3.0, 5.0, 6.0 ] );\nvar mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );\n\nvar v = smskrange( 4, x, 2, mask, 2 );\n// returns 11.0\n```\n\nNote that indexing is relative to the first index. To introduce offsets, use [`typed array`][mdn-typed-array] views.\n\n\u003c!-- eslint-disable stdlib/capitalized-comments --\u003e\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\n\nvar x0 = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ] );\nvar x1 = new Float32Array( x0.buffer, x0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\n\nvar mask0 = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );\nvar mask1 = new Uint8Array( mask0.buffer, mask0.BYTES_PER_ELEMENT*1 ); // start at 2nd element\n\nvar v = smskrange( 4, x1, 2, mask1, 2 );\n// returns 6.0\n```\n\n#### smskrange.ndarray( N, x, strideX, offsetX, mask, strideMask, offsetMask )\n\nComputes the [range][range] of a single-precision floating-point strided array according to a mask and using alternative indexing semantics.\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\n\nvar x = new Float32Array( [ 1.0, -2.0, 4.0, 2.0 ] );\nvar mask = new Uint8Array( [ 0, 0, 1, 0 ] );\n\nvar v = smskrange.ndarray( x.length, x, 1, 0, mask, 1, 0 );\n// returns 4.0\n```\n\nThe function has the following additional parameters:\n\n-   **offsetX**: starting index for `x`.\n-   **offsetMask**: starting index for `mask`.\n\nWhile [`typed array`][mdn-typed-array] views mandate a view offset based on the underlying buffer, the offset parameters support indexing semantics based on a starting indices. For example, to calculate the [range][range] for every other element in `x` starting from the second element\n\n```javascript\nvar Float32Array = require( '@stdlib/array-float32' );\nvar Uint8Array = require( '@stdlib/array-uint8' );\n\nvar x = new Float32Array( [ 2.0, 1.0, -2.0, -2.0, 3.0, 4.0, 5.0, 6.0 ] );\nvar mask = new Uint8Array( [ 0, 0, 0, 0, 0, 0, 1, 1 ] );\n\nvar v = smskrange.ndarray( 4, x, 2, 1, mask, 2, 1 );\n// returns 6.0\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n## Notes\n\n-   If `N \u003c= 0`, both functions return `NaN`.\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n## Examples\n\n\u003c!-- eslint no-undef: \"error\" --\u003e\n\n```javascript\nvar uniform = require( '@stdlib/random-array-uniform' );\nvar bernoulli = require( '@stdlib/random-array-bernoulli' );\nvar smskrange = require( '@stdlib/stats-strided-smskrange' );\n\nvar uniformOptions = {\n    'dtype': 'float32'\n};\nvar bernoulliOptions = {\n    'dtype': 'uint8'\n};\n\nvar x = uniform( 10, -50.0, 50.0, uniformOptions );\nvar mask = bernoulli( x.length, 0.2, bernoulliOptions );\nconsole.log( x );\nconsole.log( mask );\n\nvar v = smskrange( x.length, x, 1, mask, 1 );\nconsole.log( v );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c!-- C interface documentation. --\u003e\n\n* * *\n\n\u003csection class=\"c\"\u003e\n\n## C APIs\n\n\u003c!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"intro\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.intro --\u003e\n\n\u003c!-- C usage documentation. --\u003e\n\n\u003csection class=\"usage\"\u003e\n\n### Usage\n\n```c\n#include \"stdlib/stats/strided/smskrange.h\"\n```\n\n#### stdlib_strided_smskrange( N, \\*X, strideX, \\*Mask, strideMask )\n\nComputes the [range][range] of a single-precision floating-point strided array according to a mask.\n\n```c\n#include \u003cstdint.h\u003e\n\nconst float x[] = { 1.0f, -2.0f, 2.0f };\nconst uint8_t mask[] = { 0, 1, 0 };\n\nfloat v = stdlib_strided_smskrange( 3, x, 1, mask, 1 );\n// returns 1.0f\n```\n\nThe function accepts the following arguments:\n\n-   **N**: `[in] CBLAS_INT` number of indexed elements.\n-   **X**: `[in] float*` input array.\n-   **strideX**: `[in] CBLAS_INT` stride length for `X`.\n-   **Mask**: `[in] uint8_t*` mask array. If a `Mask` array element is `0`, the corresponding element in `X` is considered valid and included in computation. If a `Mask` array element is `1`, the corresponding element in `X` is considered invalid/missing and excluded from computation.\n-   **strideMask**: `[in] CBLAS_INT` stride length for `Mask`.\n\n```c\nfloat stdlib_strided_smskrange( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const uint8_t *Mask, const CBLAS_INT strideMask );\n```\n\n\u003c!-- lint disable maximum-heading-length --\u003e\n\n#### stdlib_strided_smskrange_ndarray( N, \\*X, strideX, offsetX, \\*Mask, strideMask, offsetMask )\n\nComputes the [range][range] of a single-precision floating-point strided array according to a mask and using alternative indexing semantics.\n\n```c\n#include \u003cstdint.h\u003e\n\nconst float x[] = { 1.0f, -2.0f, 2.0f };\nconst uint8_t mask[] = { 0, 1, 0 };\n\nfloat v = stdlib_strided_smskrange( 3, x, 1, 0, mask, 1, 0 );\n// returns 1.0f\n```\n\nThe function accepts the following arguments:\n\n-   **N**: `[in] CBLAS_INT` number of indexed elements.\n-   **X**: `[in] float*` input array.\n-   **strideX**: `[in] CBLAS_INT` stride length for `X`.\n-   **offsetX**: `[in] CBLAS_INT` starting index for `X`.\n-   **Mask**: `[in] uint8_t*` mask array. If a `Mask` array element is `0`, the corresponding element in `X` is considered valid and included in computation. If a `Mask` array element is `1`, the corresponding element in `X` is considered invalid/missing and excluded from computation.\n-   **strideMask**: `[in] CBLAS_INT` stride length for `Mask`.\n-   **offsetMask**: `[in] CBLAS_INT` starting index for `Mask`.\n\n```c\nfloat stdlib_strided_smskrange_ndarray( const CBLAS_INT N, const float *X, const CBLAS_INT strideX, const CBLAS_INT offsetX, const uint8_t *Mask, const CBLAS_INT strideMask, const CBLAS_INT offsetMask );\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.usage --\u003e\n\n\u003c!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"notes\"\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.notes --\u003e\n\n\u003c!-- C API usage examples. --\u003e\n\n\u003csection class=\"examples\"\u003e\n\n### Examples\n\n```c\n#include \"stdlib/stats/strided/smskrange.h\"\n#include \u003cstdint.h\u003e\n#include \u003cstdio.h\u003e\n\nint main( void ) {\n    // Create a strided array:\n    const float x[] = { 1.0f, 2.0f, 3.0f, 4.0f, 5.0f, 6.0f, 7.0f, 8.0f, 9.0f, 10.0f };\n\n    // Create a mask array:\n    const uint8_t mask[] = { 0, 0, 0, 0, 0, 0, 0, 0, 1, 1 };\n\n    // Specify the number of elements:\n    const int N = 5;\n\n    // Specify the stride lengths:\n    const int strideX = 2;\n    const int strideMask = 2;\n\n    // Compute the range:\n    float v = stdlib_strided_smskrange( N, x, strideX, mask, strideMask );\n\n    // Print the result:\n    printf( \"range: %f\\n\", v );\n}\n```\n\n\u003c/section\u003e\n\n\u003c!-- /.examples --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.c --\u003e\n\n\u003c!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. --\u003e\n\n\u003csection class=\"related\"\u003e\n\n* * *\n\n## See Also\n\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/stats-strided/dmskrange`][@stdlib/stats/strided/dmskrange]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecalculate the range of a double-precision floating-point strided array according to a mask.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/stats-base/mskrange`][@stdlib/stats/base/mskrange]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecalculate the range of a strided array according to a mask.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/stats-strided/smskmax`][@stdlib/stats/strided/smskmax]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecalculate the maximum value of a single-precision floating-point strided array according to a mask.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/stats-strided/smskmin`][@stdlib/stats/strided/smskmin]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecalculate the minimum value of a single-precision floating-point strided array according to a mask.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/stats-strided/snanrange`][@stdlib/stats/strided/snanrange]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecalculate the range of a single-precision floating-point strided array, ignoring NaN values.\u003c/span\u003e\n-   \u003cspan class=\"package-name\"\u003e[`@stdlib/stats-strided/srange`][@stdlib/stats/strided/srange]\u003c/span\u003e\u003cspan class=\"delimiter\"\u003e: \u003c/span\u003e\u003cspan class=\"description\"\u003ecalculate the range of a single-precision floating-point strided array.\u003c/span\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.related --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\n\u003csection class=\"main-repo\" \u003e\n\n* * *\n\n## Notice\n\nThis package is part of [stdlib][stdlib], a standard library for JavaScript and Node.js, with an emphasis on numerical and scientific computing. The library provides a collection of robust, high performance libraries for mathematics, statistics, streams, utilities, and more.\n\nFor more information on the project, filing bug reports and feature requests, and guidance on how to develop [stdlib][stdlib], see the main project [repository][stdlib].\n\n#### Community\n\n[![Chat][chat-image]][chat-url]\n\n---\n\n## License\n\nSee [LICENSE][stdlib-license].\n\n\n## Copyright\n\nCopyright \u0026copy; 2016-2025. The Stdlib [Authors][stdlib-authors].\n\n\u003c/section\u003e\n\n\u003c!-- /.stdlib --\u003e\n\n\u003c!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. --\u003e\n\n\u003csection class=\"links\"\u003e\n\n[npm-image]: http://img.shields.io/npm/v/@stdlib/stats-strided-smskrange.svg\n[npm-url]: https://npmjs.org/package/@stdlib/stats-strided-smskrange\n\n[test-image]: https://github.com/stdlib-js/stats-strided-smskrange/actions/workflows/test.yml/badge.svg?branch=main\n[test-url]: https://github.com/stdlib-js/stats-strided-smskrange/actions/workflows/test.yml?query=branch:main\n\n[coverage-image]: https://img.shields.io/codecov/c/github/stdlib-js/stats-strided-smskrange/main.svg\n[coverage-url]: https://codecov.io/github/stdlib-js/stats-strided-smskrange?branch=main\n\n\u003c!--\n\n[dependencies-image]: https://img.shields.io/david/stdlib-js/stats-strided-smskrange.svg\n[dependencies-url]: https://david-dm.org/stdlib-js/stats-strided-smskrange/main\n\n--\u003e\n\n[chat-image]: https://img.shields.io/gitter/room/stdlib-js/stdlib.svg\n[chat-url]: https://app.gitter.im/#/room/#stdlib-js_stdlib:gitter.im\n\n[stdlib]: https://github.com/stdlib-js/stdlib\n\n[stdlib-authors]: https://github.com/stdlib-js/stdlib/graphs/contributors\n\n[umd]: https://github.com/umdjs/umd\n[es-module]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Modules\n\n[deno-url]: https://github.com/stdlib-js/stats-strided-smskrange/tree/deno\n[deno-readme]: https://github.com/stdlib-js/stats-strided-smskrange/blob/deno/README.md\n[umd-url]: https://github.com/stdlib-js/stats-strided-smskrange/tree/umd\n[umd-readme]: https://github.com/stdlib-js/stats-strided-smskrange/blob/umd/README.md\n[esm-url]: https://github.com/stdlib-js/stats-strided-smskrange/tree/esm\n[esm-readme]: https://github.com/stdlib-js/stats-strided-smskrange/blob/esm/README.md\n[branches-url]: https://github.com/stdlib-js/stats-strided-smskrange/blob/main/branches.md\n\n[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/stats-strided-smskrange/main/LICENSE\n\n[range]: https://en.wikipedia.org/wiki/Range_%28statistics%29\n\n[@stdlib/array/float32]: https://github.com/stdlib-js/array-float32\n\n[@stdlib/array/uint8]: https://github.com/stdlib-js/array-uint8\n\n[mdn-typed-array]: https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/TypedArray\n\n\u003c!-- \u003crelated-links\u003e --\u003e\n\n[@stdlib/stats/strided/dmskrange]: https://github.com/stdlib-js/stats-strided-dmskrange\n\n[@stdlib/stats/base/mskrange]: https://github.com/stdlib-js/stats-base-mskrange\n\n[@stdlib/stats/strided/smskmax]: https://github.com/stdlib-js/stats-strided-smskmax\n\n[@stdlib/stats/strided/smskmin]: https://github.com/stdlib-js/stats-strided-smskmin\n\n[@stdlib/stats/strided/snanrange]: https://github.com/stdlib-js/stats-strided-snanrange\n\n[@stdlib/stats/strided/srange]: https://github.com/stdlib-js/stats-strided-srange\n\n\u003c!-- \u003c/related-links\u003e --\u003e\n\n\u003c/section\u003e\n\n\u003c!-- /.links --\u003e\n","funding_links":["https://github.com/sponsors/stdlib-js","https://opencollective.com/stdlib","https://tidelift.com/funding/github/npm/@stdlib/stdlib"],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fstats-strided-smskrange","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fstdlib-js%2Fstats-strided-smskrange","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fstdlib-js%2Fstats-strided-smskrange/lists"}