@stdlib/stats
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Standard library statistical functions.
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# Mode
> [Gamma][gamma-distribution] distribution [mode][mode].
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The [mode][mode] for a [gamma][gamma-distribution] random variable is
<!-- <equation class="equation" label="eq:gamma_mode" align="center" raw="\operatorname{mode}\left( X \right) = \frac{\alpha \,-\,1}{\beta }" alt="Mode for a gamma distribution."> -->
<div class="equation" align="center" data-raw-text="\operatorname{mode}\left( X \right) = \frac{\alpha \,-\,1}{\beta }" data-equation="eq:gamma_mode">
<img src="https://cdn.jsdelivr.net/gh/stdlib-js/stdlib@51534079fef45e990850102147e8945fb023d1d0/lib/node_modules/@stdlib/stats/base/dists/gamma/mode/docs/img/equation_gamma_mode.svg" alt="Mode for a gamma distribution.">
<br>
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when shape `α >= 1` and rate `β > 0`. For other parameter values, the mode is not defined.
</section>
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## Usage
```javascript
var mode = require( '@stdlib/stats/base/dists/gamma/mode' );
```
#### mode( alpha, beta )
Returns the [mode][mode] of a [gamma][gamma-distribution] distribution with parameters `alpha` (shape parameter) and `beta` (rate parameter).
```javascript
var v = mode( 1.0, 1.0 );
// returns 0.0
v = mode( 4.0, 12.0 );
// returns 0.25
v = mode( 8.0, 2.0 );
// returns 3.5
```
If provided `NaN` as any argument, the function returns `NaN`.
```javascript
var v = mode( NaN, 2.0 );
// returns NaN
v = mode( 2.0, NaN );
// returns NaN
```
If provided `alpha <= 0`, the function returns `NaN`.
```javascript
var v = mode( 0.0, 1.0 );
// returns NaN
v = mode( -1.0, 1.0 );
// returns NaN
```
If provided `beta <= 0`, the function returns `NaN`.
```javascript
var v = mode( 1.0, 0.0 );
// returns NaN
v = mode( 1.0, -1.0 );
// returns NaN
```
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</section>
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## Examples
<!-- eslint no-undef: "error" -->
```javascript
var randu = require( '@stdlib/random/base/randu' );
var EPS = require( '@stdlib/constants/float64/eps' );
var mode = require( '@stdlib/stats/base/dists/gamma/mode' );
var alpha;
var beta;
var v;
var i;
for ( i = 0; i < 10; i++ ) {
alpha = ( randu()*10.0 ) + EPS;
beta = ( randu()*10.0 ) + EPS;
v = mode( alpha, beta );
console.log( 'α: %d, β: %d, mode(X;α,β): %d', alpha.toFixed( 4 ), beta.toFixed( 4 ), v.toFixed( 4 ) );
}
```
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</section>
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</section>
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[gamma-distribution]: https://en.wikipedia.org/wiki/Gamma_distribution
[mode]: https://en.wikipedia.org/wiki/Mode_%28statistics%29
</section>
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