# @stdlib/math-base-special-boxcox

> Compute a one-parameter Box-Cox transformation.

Latest version **0.3.1** (published 2026-02-08) · Apache-2.0 license · 0 weekly downloads

## Install

```sh
npm install @stdlib/math-base-special-boxcox
pnpm add @stdlib/math-base-special-boxcox
yarn add @stdlib/math-base-special-boxcox
bun add @stdlib/math-base-special-boxcox
```

## Health

**Score 55/100 (C)** — status: stable.

Positive: has types; no vulnerabilities; high maintenance score.

Warnings: low downloads; no esm support; pre 1.0.

## Facts

| | |
|---|---|
| Version | 0.3.1 |
| Published | 2026-02-08 |
| First published | 2021-06-15 |
| Weekly downloads | 0 |
| License | Apache-2.0 |
| TypeScript types | bundled |
| Module format | CommonJS |
| Node | >=0.10.0 |
| Dependencies | 8 |
| Unpacked size | 48.7 KB |
| Known vulnerabilities | 0 |
| Install scripts | no |
| GitHub stars | 1 |
| Author | The Stdlib Authors |
| Maintainers | stdlib-bot, kgryte, planeshifter, rreusser |
| Keywords | stdlib, stdmath, mathematics, math, power, transform, power transform, boxcox, transformation, box-cox |

## Links

- npm: https://www.npmjs.com/package/@stdlib/math-base-special-boxcox
- Repository: https://github.com/stdlib-js/math-base-special-boxcox
- Homepage: https://stdlib.io
- Issues: https://github.com/stdlib-js/stdlib/issues
- Funding: https://opencollective.com/stdlib
- npm.io page: https://npm.io/package/@stdlib/math-base-special-boxcox

## Dependencies (8)

- [@stdlib/math-base-special-ln](https://npm.io/package/@stdlib/math-base-special-ln.md) ^0.2.5
- [@stdlib/math-base-napi-binary](https://npm.io/package/@stdlib/math-base-napi-binary.md) ^0.3.3
- [@stdlib/math-base-special-abs](https://npm.io/package/@stdlib/math-base-special-abs.md) ^0.2.3
- [@stdlib/constants-float64-ninf](https://npm.io/package/@stdlib/constants-float64-ninf.md) ^0.2.3
- [@stdlib/utils-library-manifest](https://npm.io/package/@stdlib/utils-library-manifest.md) ^0.2.4
- [@stdlib/math-base-assert-is-nan](https://npm.io/package/@stdlib/math-base-assert-is-nan.md) ^0.2.3
- [@stdlib/math-base-special-expm1](https://npm.io/package/@stdlib/math-base-special-expm1.md) ^0.2.3
- [@stdlib/math-base-assert-is-positive-zero](https://npm.io/package/@stdlib/math-base-assert-is-positive-zero.md) ^0.2.3

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## Recent versions

- 0.3.1 (latest) — 2026-02-08
- 0.3.0 — 2024-07-28
- 0.2.1 — 2024-02-24
- 0.2.0 — 2024-02-14
- 0.1.0 — 2023-09-24
- 0.0.6 — 2022-02-16
- 0.0.5 — 2021-08-22
- 0.0.4 — 2021-07-07
- 0.0.3 — 2021-06-27
- 0.0.2 — 2021-06-16
- 0.0.1 — 2021-06-15

## README

<!--

@license Apache-2.0

Copyright (c) 2018 The Stdlib Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

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<details>
  <summary>
    About stdlib...
  </summary>
  <p>We 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.</p>
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</details>

# boxcox

[![NPM version][npm-image]][npm-url] [![Build Status][test-image]][test-url] [![Coverage Status][coverage-image]][coverage-url] <!-- [![dependencies][dependencies-image]][dependencies-url] -->

> Compute a one-parameter [Box-Cox transformation][box-cox-transformation].

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

The one-parameter [Box-Cox transformation][box-cox-transformation] is defined as

<!-- <equation class="equation" label="eq:boxcox_transformation_one_parameter" align="center" raw="y^{\lambda} = \begin{cases}\frac{y^{\lambda} - 1}{\lambda} & \textrm{if}\ \lambda \neq 0 \\ \ln(y) & \textrm{if}\ \lambda = 0 \end{cases}" alt="One-Parameter Box-Cox Transformation"> -->

<div class="equation" align="center" data-raw-text="y^{\lambda} = \begin{cases}\frac{y^{\lambda} - 1}{\lambda} & \textrm{if}\ \lambda \neq 0 \\ \ln(y) & \textrm{if}\ \lambda = 0 \end{cases}" data-equation="eq:boxcox_transformation_one_parameter">
    <img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@1cd982bdbe87913bbb66e9d6a79b0acb0fb89616/lib/node_modules/@stdlib/math/base/special/boxcox/docs/img/equation_boxcox_transformation_one_parameter.svg" alt="One-Parameter Box-Cox Transformation" />
    <br>
</div>

<!-- </equation> -->

</section>

<!-- /.intro -->

<!-- Package usage documentation. -->

<section class="installation">

## Installation

```bash
npm install @stdlib/math-base-special-boxcox
```

</section>

<section class="usage">

## Usage

```javascript
var boxcox = require( '@stdlib/math-base-special-boxcox' );
```

#### boxcox( x, lambda )

Computes a one-parameter [Box-Cox transformation][box-cox-transformation].

```javascript
var v = boxcox( 1.0, 2.5 );
// returns 0.0

v = boxcox( 4.0, 2.5 );
// returns 12.4

v = boxcox( 10.0, 2.5 );
// returns ~126.0911

v = boxcox( 2.0, 0.0 );
// returns ~0.6931

v = boxcox( -1.0, 2.5 );
// returns NaN

v = boxcox( 0.0, -1.0 );
// returns -Infinity
```

</section>

<!-- /.usage -->

<!-- Package usage examples. -->

<section class="examples">

## Examples

<!-- eslint no-undef: "error" -->

```javascript
var incrspace = require( '@stdlib/array-base-incrspace' );
var boxcox = require( '@stdlib/math-base-special-boxcox' );

var x = incrspace( -1.0, 10.0, 1.0 );
var l = incrspace( -0.5, 5.0, 0.5 );

var b;
var i;
var j;
for ( i = 0; i < x.length; i++ ) {
    for ( j = 0; j < l.length; j++ ) {
        b = boxcox( x[ i ], l[ j ] );
        console.log( 'boxcox(%d, %d) = %d', x[ i ], l[ j ], b );
    }
}
```

</section>

<!-- /.examples -->

<!-- C interface documentation. -->

* * *

<section class="c">

## C APIs

<!-- Section to include introductory text. Make sure to keep an empty line after the intro `section` element and another before the `/section` close. -->

<section class="intro">

</section>

<!-- /.intro -->

<!-- C usage documentation. -->

<section class="usage">

### Usage

```c
#include "stdlib/math/base/special/boxcox.h"
```

#### stdlib_base_boxcox( x, lambda )

Computes a one-parameter [Box-Cox transformation][box-cox-transformation].

```c
double out = stdlib_base_boxcox( 1.0, 2.5 );
// returns 0.0

out = stdlib_base_boxcox( 4.0, 2.5 );
// returns 12.4
```

The function accepts the following arguments:

-   **x**: `[in] double` input value.
-   **lambda**: `[in] double` power parameter.

```c
double stdlib_base_boxcox ( const double x, const double lambda );
```

</section>

<!-- /.usage -->

<!-- C API usage notes. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="notes">

</section>

<!-- /.notes -->

<!-- C API usage examples. -->

<section class="examples">

### Examples

```c
#include "stdlib/math/base/special/boxcox.h"
#include <stdio.h>

int main( void ) {
    const double x[] = { -1.0, 10.0, 1.0 };
    const double y[] = { -0.5, 5.0, 0.5 };

    double out;
    int i;
    int j;
    for ( i = 0; i < 3; i++ ) {
        for ( j = 0; j < 3; j++ ) {
            out = stdlib_base_boxcox( x[ i ], y[ j ] );
            printf ( "x: %lf, y: %lf, out: %lf\n", x[ i ], y[ j ], out );
        }
    }
}
```

</section>

<!-- /.examples -->

</section>

<!-- /.c -->

<!-- Section to include cited references. If references are included, add a horizontal rule *before* the section. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->

<section class="references">

## References

-   Box, G. E. P., and D. R. Cox. 1964. "An Analysis of Transformations." _Journal of the Royal Statistical Society. Series B (Methodological)_ 26 (2). \[Royal Statistical Society, Wiley]: 211–52. <http://www.jstor.org/stable/2984418>.

</section>

<!-- /.references -->

<!-- Section for related `stdlib` packages. Do not manually edit this section, as it is automatically populated. -->

<section class="related">

* * *

## See Also

-   <span class="package-name">[`@stdlib/math-base/special/boxcoxinv`][@stdlib/math/base/special/boxcoxinv]</span><span class="delimiter">: </span><span class="description">compute the inverse of a one-parameter Box-Cox transformation.</span>
-   <span class="package-name">[`@stdlib/math-base/special/boxcox1p`][@stdlib/math/base/special/boxcox1p]</span><span class="delimiter">: </span><span class="description">compute a one-parameter Box-Cox transformation of 1+x.</span>
-   <span class="package-name">[`@stdlib/math-base/special/boxcox1pinv`][@stdlib/math/base/special/boxcox1pinv]</span><span class="delimiter">: </span><span class="description">compute the inverse of a one-parameter Box-Cox transformation for 1+x.</span>

</section>

<!-- /.related -->

<!-- Section for all links. Make sure to keep an empty line after the `section` element and another before the `/section` close. -->


<section class="main-repo" >

* * *

## Notice

This 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.

For 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].

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## License

See [LICENSE][stdlib-license].


## Copyright

Copyright &copy; 2016-2026. The Stdlib [Authors][stdlib-authors].

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[deno-readme]: https://github.com/stdlib-js/math-base-special-boxcox/blob/deno/README.md
[umd-url]: https://github.com/stdlib-js/math-base-special-boxcox/tree/umd
[umd-readme]: https://github.com/stdlib-js/math-base-special-boxcox/blob/umd/README.md
[esm-url]: https://github.com/stdlib-js/math-base-special-boxcox/tree/esm
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[branches-url]: https://github.com/stdlib-js/math-base-special-boxcox/blob/main/branches.md

[stdlib-license]: https://raw.githubusercontent.com/stdlib-js/math-base-special-boxcox/main/LICENSE

[box-cox-transformation]: https://en.wikipedia.org/wiki/Power_transform#Box-Cox_transformation

<!-- <related-links> -->

[@stdlib/math/base/special/boxcoxinv]: https://www.npmjs.com/package/@stdlib/math-base-special-boxcoxinv

[@stdlib/math/base/special/boxcox1p]: https://www.npmjs.com/package/@stdlib/math-base-special-boxcox1p

[@stdlib/math/base/special/boxcox1pinv]: https://www.npmjs.com/package/@stdlib/math-base-special-boxcox1pinv

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