pc.sn {INLA}R Documentation

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

Description

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

Usage

 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

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.

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.

Author(s)

havard rue hrue@r-inla.org

See Also

inla.doc("pc.sn")

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)
 

[Package INLA version 21.11.22 Index]