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Reparameterized Beta distribution functions
dbeta.rp(x, mean = 0.5, effective.ss = 1, ncp = 0, log = FALSE)pbeta.rp( q, mean = 0.5, effective.ss = 1, ncp = 0, lower.tail = TRUE, log.p = FALSE )qbeta.rp( p, mean = 0.5, effective.ss = 1, ncp = 0, lower.tail = TRUE, log.p = FALSE )
pbeta.rp( q, mean = 0.5, effective.ss = 1, ncp = 0, lower.tail = TRUE, log.p = FALSE )
qbeta.rp( p, mean = 0.5, effective.ss = 1, ncp = 0, lower.tail = TRUE, log.p = FALSE )
Returns density values, cumulative probabilities, quantiles and random samples from a Beta distribution.
likelihood function evaluates at point x
mean
effective sample size
non-centrality parameter
as in stats::*beta
quantile
logical; if TRUE (default), probabilities are P(X < x), otherwise, P(X>x).
logical; if TRUE, probabilities p are given as log(p)
cumulative probability
dbeta.rp(.5, .5, 1) pbeta.rp(.5, .5, 1) qbeta.rp(.975, .5, 1)
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