Utility functions for the PC prior for skewness in the skew-normal linkfunction and likelihood

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

inla.pc.rsn(n, lambda = 40)

inla.pc.dsn(skew, 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

skew

vector of evaluation points

log

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

p

vector of probabilities

q

vector of quantiles

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.

Details

Defines the PC prior for the skewness for the skew-normal linkfunction and likelihood, where skew=0 is the base model. The skewness range from -0.99527... to 0.99527.... ca.

See also

inla.doc("pc.sn")

Author

Havard Rue hrue@r-inla.org

Examples

 x = inla.pc.rsn(100,  lambda = 40)
 d = inla.pc.dsn(x, lambda = 40)
 x = inla.pc.qsn(0.5, lambda = 40)
 inla.pc.psn(x, lambda = 40)
#> [1] 0.5