Utility functions for the PC prior for the alpha parameter in the skew-normal linkfunction

Functions to evaluate, sample, compute quantiles and percentiles of the PC prior for the alpha parameter in the skew-normal link-function

inla.pc.rsn(n, lambda = 40)
inla.pc.dsn(alpha, lambda = 40, log = FALSE)
inla.pc.qsn(p, lambda = 40)
inla.pc.psn(q, lambda = 40)

Arguments

n

number of observations

lambda

the rate parameter in the PC prior

alpha

vector of evaluation points

log

logical. return the density in natural or log-scale.

p

vector of probabilities

q

vector of quantiles

Details

Defines the PC prior for the alpha parameter for the skew-normal linkfunction where alpha=0 is the base model.

Value

inla.pc.dsn gives the density, inla.pc.psn gives the distribution function, inla.pc.qsn gives the quantile function, and inla.pc.rsn generates random deviates.

See also

inla.doc("pc.sn")

Author

havard rue hrue@r-inla.org

Examples

x = inla.pc.rsn(100,  lambda = 40)
#> Error in xy.coords(x, y, setLab = FALSE): 'x' and 'y' lengths differ
d = inla.pc.dsn(x, lambda = 40)
#> Error in xy.coords(x, y, setLab = FALSE): 'x' and 'y' lengths differ
x = inla.pc.qsn(0.5, lambda = 40)
#> Error in xy.coords(x, y, setLab = FALSE): 'x' and 'y' lengths differ
inla.pc.psn(x, lambda = 40)
#> Error in xy.coords(x, y, setLab = FALSE): 'x' and 'y' lengths differ