Description Usage Arguments Details Value Author(s) See Also Examples
Functions to evaluate, sample, compute quantiles and
percentiles of the PC prior for the alpha
parameter
in the Weibull likelihood
1 2 3 4 5 | inla.pc.ralphaw(n, lambda = 5)
inla.pc.dalphaw(alpha, lambda = 5, log = FALSE)
inla.pc.qalphaw(p, lambda = 5)
inla.pc.palphaw(q, lambda = 5)
|
n |
Number of observations |
lambda |
The rate parameter in the PC-prior |
alpha |
Vector of evaluation points, where |
log |
Logical. Return the density in natural or log-scale. |
p |
Vector of probabilities |
q |
Vector of quantiles |
This gives the PC prior for the alpha
parameter for the Weibull likelihood,
where alpha=1
is the base model.
inla.pc.dalphaw
gives the density,
inla.pc.palphaw
gives the distribution function,
inla.pc.qalphaw
gives the quantile function, and
inla.pc.ralphaw
generates random deviates.
Havard Rue hrue@r-inla.org
inla.doc("pc.alphaw")
1 2 3 4 5 | x = inla.pc.ralphaw(100, lambda = 5)
d = inla.pc.dalphaw(x, lambda = 5)
x = inla.pc.qalphaw(0.5, lambda = 5)
inla.pc.palphaw(x, lambda = 5)
|
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