# boxcox
> Compute a one-parameter [Box-Cox transformation][box-cox-transformation].
The one-parameter [Box-Cox transformation][box-cox-transformation] is defined as
## 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
```
## Examples
```javascript
var incrspace = require( '@stdlib/array/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 );
}
}
```
## 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. .
[box-cox-transformation]: https://en.wikipedia.org/wiki/Power_transform#Box-Cox_transformation
