Description Usage Arguments Details Value Author(s) See Also Examples
Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for the precision in the Gaussian distribution.
1 2 3 4 5 | 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)
|
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 |
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
.
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.
Havard Rue hrue@math.ntnu.no
inla.doc("pc.prec")
1 2 3 4 5 | 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)
|
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