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Reparameterized Gamma distribution functions
dgamma.rp(x, mean, var, log = FALSE)pgamma.rp(q, mean, var, lower.tail = TRUE, log.p = FALSE)qgamma.rp(p, mean, var, lower.tail = TRUE, log.p = FALSE)rgamma.rp(n, mean, var)
pgamma.rp(q, mean, var, lower.tail = TRUE, log.p = FALSE)
qgamma.rp(p, mean, var, lower.tail = TRUE, log.p = FALSE)
rgamma.rp(n, mean, var)
Returns density values, cumulative probabilities, quantiles and random samples from a gamma distribution.
likelihood function evaluates at point x
mean
variance
as in stats::*gamma
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
sample size
dgamma.rp(1, 1, 1) pgamma.rp(1.96, 1, 1) qgamma.rp(.975, 1, 1) rgamma.rp(10, 1, 1)
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