gamma2 {LaMa} | R Documentation |
Reparametrised gamma distribution
Description
Density, distribution function, quantile function and random generation for the gamma distribution reparametrised in terms of mean and standard deviation.
Usage
dgamma2(x, mean = 1, sd = 1, log = FALSE)
pgamma2(q, mean = 1, sd = 1, lower.tail = TRUE, log.p = FALSE)
qgamma2(p, mean = 1, sd = 1, lower.tail = TRUE, log.p = FALSE)
rgamma2(n, mean = 1, sd = 1)
Arguments
x , q |
vector of quantiles |
mean |
mean parameter, must be positive scalar. |
sd |
standard deviation parameter, must be positive scalar. |
log , log.p |
logical; if |
lower.tail |
logical; if |
p |
vector of probabilities |
n |
number of observations. If |
Details
This implementation allows for automatic differentiation with RTMB
.
Value
dgamma2
gives the density, pgamma2
gives the distribution function, qgamma2
gives the quantile function, and rgamma2
generates random deviates.
Examples
x = rgamma2(1)
d = dgamma2(x)
p = pgamma2(x)
q = qgamma2(p)
[Package LaMa version 2.0.5 Index]