Description Usage Arguments Details Value Author(s) See Also Examples
Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for the correlation in the Gaussian AR(1) model where the base-model is zero correlation.
1 2 3 4 5 | inla.pc.rcor0(n, u, alpha, lambda)
inla.pc.dcor0(cor, u, alpha, lambda, log = FALSE)
inla.pc.qcor0(p, u, alpha, lambda)
inla.pc.pcor0(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) |
cor |
Vector of correlations |
log |
Logical. Return the density in natural or log-scale. |
p |
Vector of probabilities |
q |
Vector of quantiles |
The statement Prob(|cor| > u) = alpha
is used to
determine lambda
unless lambda
is given.
Either lambda
must be given, or
u
AND alpha
. The density is symmetric around zero.
inla.pc.dcor0
gives the density,
inla.pc.pcor0
gives the distribution function,
inla.pc.qcor0
gives the quantile function, and
inla.pc.rcor0
generates random deviates.
Havard Rue hrue@math.ntnu.no
inla.doc("pc.rho0")
1 2 3 4 5 | cor = inla.pc.rcor0(100, lambda = 1)
d = inla.pc.dcor0(cor, lambda = 1)
cor = inla.pc.qcor0(c(0.3, 0.7), u = 0.5, alpha=0.01)
inla.pc.pcor0(cor, u = 0.5, alpha=0.01)
|
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