This function computes the Pareto-smoothed importance sampling leave-one-out
information criterion (PSIS-LOO) for an object of class lmBayes or
spmBayes. The PSIS-LOO is converted into deviance scale so that it is
comparable with other information criteria like AIC and BIC.
Usage
psis.loo(object, comp.r_eff = TRUE)
Arguments
- object
An object of class 'lmBayes' or 'spmBayes'.
- comp.r_eff
Logical. Whether the function should estimate the relative
effective sample size for the likelihood of each observation. If
FALSE, all the relative effective sample sizes are set to one.
Default is TRUE.
Value
The estimated PSIS-LOO.