time-to-botec

Benchmark sampling in different programming languages
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README.md (6444B)


      1 <!--
      2 
      3 @license Apache-2.0
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      5 Copyright (c) 2018 The Stdlib Authors.
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      7 Licensed under the Apache License, Version 2.0 (the "License");
      8 you may not use this file except in compliance with the License.
      9 You may obtain a copy of the License at
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     11    http://www.apache.org/licenses/LICENSE-2.0
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     13 Unless required by applicable law or agreed to in writing, software
     14 distributed under the License is distributed on an "AS IS" BASIS,
     15 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
     16 See the License for the specific language governing permissions and
     17 limitations under the License.
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     19 -->
     20 
     21 # Bernoulli
     22 
     23 > Bernoulli distribution.
     24 
     25 <section class="usage">
     26 
     27 ## Usage
     28 
     29 ```javascript
     30 var bernoulli = require( '@stdlib/stats/base/dists/bernoulli' );
     31 ```
     32 
     33 #### bernoulli
     34 
     35 Bernoulli distribution.
     36 
     37 ```javascript
     38 var dist = bernoulli;
     39 // returns {...}
     40 ```
     41 
     42 The namespace contains the following distribution functions:
     43 
     44 <!-- <toc pattern="*+(cdf|pmf|mgf|quantile)*"> -->
     45 
     46 <div class="namespace-toc">
     47 
     48 -   <span class="signature">[`cdf( x, p )`][@stdlib/stats/base/dists/bernoulli/cdf]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution cumulative distribution function.</span>
     49 -   <span class="signature">[`mgf( t, p )`][@stdlib/stats/base/dists/bernoulli/mgf]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution moment-generating function (MGF).</span>
     50 -   <span class="signature">[`pmf( x, p )`][@stdlib/stats/base/dists/bernoulli/pmf]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution probability mass function (PMF).</span>
     51 -   <span class="signature">[`quantile( r, p )`][@stdlib/stats/base/dists/bernoulli/quantile]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution quantile function.</span>
     52 
     53 </div>
     54 
     55 <!-- </toc> -->
     56 
     57 The namespace contains the following functions for calculating distribution properties:
     58 
     59 <!-- <toc pattern="*+(entropy|kurtosis|mean|median|mode|skewness|stdev|variance)*"> -->
     60 
     61 <div class="namespace-toc">
     62 
     63 -   <span class="signature">[`entropy( p )`][@stdlib/stats/base/dists/bernoulli/entropy]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution entropy.</span>
     64 -   <span class="signature">[`kurtosis( p )`][@stdlib/stats/base/dists/bernoulli/kurtosis]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution excess kurtosis.</span>
     65 -   <span class="signature">[`mean( p )`][@stdlib/stats/base/dists/bernoulli/mean]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution expected value.</span>
     66 -   <span class="signature">[`median( p )`][@stdlib/stats/base/dists/bernoulli/median]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution median.</span>
     67 -   <span class="signature">[`mode( p )`][@stdlib/stats/base/dists/bernoulli/mode]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution mode.</span>
     68 -   <span class="signature">[`skewness( p )`][@stdlib/stats/base/dists/bernoulli/skewness]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution skewness.</span>
     69 -   <span class="signature">[`stdev( p )`][@stdlib/stats/base/dists/bernoulli/stdev]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution standard deviation.</span>
     70 -   <span class="signature">[`variance( p )`][@stdlib/stats/base/dists/bernoulli/variance]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution variance.</span>
     71 
     72 </div>
     73 
     74 <!-- </toc> -->
     75 
     76 The namespace contains a constructor function for creating a [Bernoulli][bernoulli-distribution] distribution object.
     77 
     78 <!-- <toc pattern="*ctor*"> -->
     79 
     80 <div class="namespace-toc">
     81 
     82 -   <span class="signature">[`Bernoulli( [p] )`][@stdlib/stats/base/dists/bernoulli/ctor]</span><span class="delimiter">: </span><span class="description">Bernoulli distribution constructor.</span>
     83 
     84 </div>
     85 
     86 <!-- </toc> -->
     87 
     88 ```javascript
     89 var Bernoulli = require( '@stdlib/stats/base/dists/bernoulli' ).Bernoulli;
     90 
     91 var dist = new Bernoulli( 0.2 );
     92 
     93 var y = dist.pmf( 0.0 );
     94 // returns 0.8
     95 
     96 y = dist.pmf( 1.0 );
     97 // returns 0.2
     98 ```
     99 
    100 </section>
    101 
    102 <!-- /.usage -->
    103 
    104 <section class="examples">
    105 
    106 ## Examples
    107 
    108 <!-- TODO: better examples -->
    109 
    110 <!-- eslint no-undef: "error" -->
    111 
    112 ```javascript
    113 var objectKeys = require( '@stdlib/utils/keys' );
    114 var bernoulli = require( '@stdlib/stats/base/dists/bernoulli' );
    115 
    116 console.log( objectKeys( bernoulli ) );
    117 ```
    118 
    119 </section>
    120 
    121 <!-- /.examples -->
    122 
    123 <section class="links">
    124 
    125 [bernoulli-distribution]: https://en.wikipedia.org/wiki/Bernoulli_distribution
    126 
    127 <!-- <toc-links> -->
    128 
    129 [@stdlib/stats/base/dists/bernoulli/ctor]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/ctor
    130 
    131 [@stdlib/stats/base/dists/bernoulli/entropy]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/entropy
    132 
    133 [@stdlib/stats/base/dists/bernoulli/kurtosis]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/kurtosis
    134 
    135 [@stdlib/stats/base/dists/bernoulli/mean]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/mean
    136 
    137 [@stdlib/stats/base/dists/bernoulli/median]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/median
    138 
    139 [@stdlib/stats/base/dists/bernoulli/mode]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/mode
    140 
    141 [@stdlib/stats/base/dists/bernoulli/skewness]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/skewness
    142 
    143 [@stdlib/stats/base/dists/bernoulli/stdev]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/stdev
    144 
    145 [@stdlib/stats/base/dists/bernoulli/variance]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/variance
    146 
    147 [@stdlib/stats/base/dists/bernoulli/cdf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/cdf
    148 
    149 [@stdlib/stats/base/dists/bernoulli/mgf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/mgf
    150 
    151 [@stdlib/stats/base/dists/bernoulli/pmf]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/pmf
    152 
    153 [@stdlib/stats/base/dists/bernoulli/quantile]: https://www.npmjs.com/package/@stdlib/stats/tree/main/base/dists/bernoulli/quantile
    154 
    155 <!-- </toc-links> -->
    156 
    157 </section>
    158 
    159 <!-- /.links -->