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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