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