# bweibull: Bernoulli-Weibull distribution In CaDENCE: Conditional Density Estimation Network Construction and Evaluation

## Description

Functions implementing the Bernoulli-Weibull distribution, in which zero values occur with probability `1-prob` and non-zero values follow a Weibull distribution with `scale` and `shape` parameters. `dbweibull` gives a probability density function (pdf), `pbweibull` gives the cumulative distribution function (cdf), `qbweibull` gives the quantile function (inverse cdf), and `rbweibull` is used for generating random variates.

## Usage

 ```1 2 3 4``` ```dbweibull(x, prob, scale, shape) pbweibull(q, prob, scale, shape) qbweibull(p, prob, scale, shape) rbweibull(n, prob, scale, shape) ```

## Arguments

 `x, q` vector of quantiles. `p` vector of cumulative probabilities. `n` number of random samples. `prob` probability of a non-zero value. `scale` scale parameter of the weibull distribution. `shape` shape parameter of the weibull distribution.

## Value

`dbweibull` gives the pdf, `pbweibull` gives the cdf, `qbweibull` gives the inverse cdf (or quantile function), and `rbweibull` generates random variates.

`dweibull`, `bgamma`, `bpareto2`, `blnorm`

## Examples

 `1` ``` plot(rbweibull(365, prob = 0.2, scale = 1, shape = 1), type = "h") ```

### Example output

```Loading required package: pso
```

CaDENCE documentation built on Dec. 5, 2017, 9:03 a.m.