Description Usage Arguments Value Author(s) Examples
pdf, cdf, inverse cdf, and random deviates of the truncated beta distribution.
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| 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 | 
dtbeta gives the density, ptbeta gives the distribution function, qtbeta gives the quantile function, and rtbeta generates random deviates.
Rob Carnell
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