documented addition to beta
api
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@ -70,12 +70,14 @@ uniform(10, 12);
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```
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```
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beta: (distribution|number, distribution|number) => distribution
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beta: (distribution|number, distribution|number) => distribution
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beta: (dict<{mean: distribution|number, stdev: distribution|number}>) => distribution
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```
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```
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**Examples**
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**Examples**
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```javascript
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```javascript
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beta(20, 25);
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beta(20, 25);
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beta({ mean: 0.39, stdev: 0.1 });
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```
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```
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### cauchy
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### cauchy
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@ -259,6 +259,7 @@ with values at 1 and 2. Therefore, this is the same as `mixture(pointMass(1),poi
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## Beta
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## Beta
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`beta(alpha:number, beta:number)`
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`beta(alpha:number, beta:number)`
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`beta({mean: number, stdev: number})`
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Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) with the given `alpha` and `beta` values. For a good summary of the beta distribution, see [this explanation](https://stats.stackexchange.com/a/47782) on Stack Overflow.
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Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) with the given `alpha` and `beta` values. For a good summary of the beta distribution, see [this explanation](https://stats.stackexchange.com/a/47782) on Stack Overflow.
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@ -278,6 +279,12 @@ Creates a [beta distribution](https://en.wikipedia.org/wiki/Beta_distribution) w
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<TabItem value="ex5" label="beta(0.8, 0.8)">
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<TabItem value="ex5" label="beta(0.8, 0.8)">
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<SquiggleEditor initialSquiggleString="beta(0.8, 0.8)" />
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<SquiggleEditor initialSquiggleString="beta(0.8, 0.8)" />
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</TabItem>
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</TabItem>
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<TabItem
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value="from mean and standard deviation"
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label="beta({mean: 0.39, stdev: 0.1})"
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>
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<SquiggleEditor initialSquiggleString="beta({mean: 0.39, stdev: 0.1})" />
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</TabItem>
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</Tabs>
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</Tabs>
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### Arguments
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### Arguments
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