# tbeta: Truncated Beta Functions In TruncatedDistributions: Use Truncated Distribution functions

## Description

pdf, cdf, inverse cdf, and random deviates of the truncated beta distribution.

## Usage

 ```1 2 3 4``` ```rtbeta(n, alpha, beta, a=0, b=1) dtbeta(x, alpha, beta, a=0, b=1) ptbeta(q, alpha, beta, a=0, b=1) qtbeta(p, alpha, beta, a=0, b=1) ```

## Arguments

 `x,q` vector of quantiles. `p` vector of probabilities. `n` number of observations. If length(n) > 1, the length is taken to be the number required. `alpha` vector of alpha parameters. `beta` vector of beta parameters. `a` vector of lower truncation limits `b` vector of upper truncation limits

## Value

dtbeta gives the density, ptbeta gives the distribution function, qtbeta gives the quantile function, and rtbeta generates random deviates.

Rob Carnell

## Examples

 ```1 2 3 4``` ``` rtbeta(5, 1, 2, a=0.5, b=0.9) dtbeta(seq(0, 1, by=0.1), 1, 2, a=0.5, b=0.9) ptbeta(seq(0, 1, by=0.1), 1, 2, a=0.5, b=0.9) qtbeta(seq(0, 1, by=0.1), 1, 2, a=0.5, b=0.9) ```

TruncatedDistributions documentation built on May 31, 2017, 2:26 a.m.