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 correlation one.
1 2 3 4 5 | inla.pc.rcor1(n, u, alpha, lambda)
inla.pc.dcor1(cor, u, alpha, lambda, log = FALSE)
inla.pc.qcor1(p, u, alpha, lambda)
inla.pc.pcor1(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
.
inla.pc.dcor1
gives the density,
inla.pc.pcor1
gives the distribution function,
inla.pc.qcor1
gives the quantile function, and
inla.pc.rcor1
generates random deviates.
Havard Rue hrue@math.ntnu.no
inla.doc("pc.rho1")
1 2 3 4 5 | cor = inla.pc.rcor1(100, lambda = 1)
d = inla.pc.dcor1(cor, lambda = 1)
cor = inla.pc.qcor1(c(0.3, 0.7), u = 0.5, alpha=0.75)
inla.pc.pcor1(cor, u = 0.5, alpha=0.75)
|
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