| pc.prec {INLA} | R Documentation |
Utility functions for the PC prior for the precision
Description
Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for the precision in the Gaussian distribution.
Usage
inla.pc.rprec(n, u, alpha, lambda)
inla.pc.dprec(prec, u, alpha, lambda, log = FALSE)
inla.pc.qprec(p, u, alpha, lambda)
inla.pc.pprec(q, u, alpha, lambda)
Arguments
n |
Number of observations |
u |
The upper limit (see Details) |
alpha |
The probability going above the upper limit (see Details) |
lambda |
The rate parameter (see Details) |
prec |
Vector of precisions |
log |
Logical. Return the density in natural or log-scale. |
p |
Vector of probabilities |
q |
Vector of quantiles |
Details
The statement Prob(1/sqrt(prec) > u) = alpha is used to determine
lambda unless lambda is given. Either lambda must be
given, or u AND alpha.
Value
inla.pc.dprec gives the density, inla.pc.pprec
gives the distribution function, inla.pc.qprec gives the quantile
function, and inla.pc.rprec generates random deviates.
Author(s)
Havard Rue hrue@r-inla.org
See Also
inla.doc("pc.prec")
Examples
prec = inla.pc.rprec(100, lambda = 1)
d = inla.pc.dprec(prec, lambda = 1)
prec = inla.pc.qprec(0.5, u = 1, alpha=0.01)
inla.pc.pprec(prec, u = 1, alpha=0.01)
[Package INLA version 25.06.13 Index]