| pc.sn {INLA} | R Documentation |
Utility functions for the PC prior for skewness in the skew-normal
linkfunction and likelihood
Description
Functions to evaluate, sample, compute quantiles and percentiles of the PC
prior for the skewness in the skew-normal link-function and
likelihood
Usage
inla.pc.rsn(n, lambda = 40)
inla.pc.dsn(skew, lambda = 40, log = FALSE)
inla.pc.qsn(p, lambda = 40)
inla.pc.psn(q, lambda = 40)
Arguments
n |
number of observations |
lambda |
the rate parameter in the PC prior |
skew |
vector of evaluation points |
log |
logical. return the density in natural or log-scale. |
p |
vector of probabilities |
q |
vector of quantiles |
Details
Defines the PC prior for the skewness for the skew-normal
linkfunction and likelihood, where skew=0 is the base model. The
skewness range from -0.99527... to 0.99527.... ca.
Value
inla.pc.dsn gives the density, inla.pc.psn gives
the distribution function, inla.pc.qsn gives the quantile function,
and inla.pc.rsn generates random deviates.
Author(s)
Havard Rue hrue@r-inla.org
See Also
inla.doc("pc.sn")
Examples
x = inla.pc.rsn(100, lambda = 40)
d = inla.pc.dsn(x, lambda = 40)
x = inla.pc.qsn(0.5, lambda = 40)
inla.pc.psn(x, lambda = 40)
[Package INLA version 25.06.13 Index]