model_comp: compute the model comparison measures: DIC, LPML, or...

In metapack: Bayesian Meta-Analysis and Network Meta-Analysis

compute the model comparison measures: DIC, LPML, or Pearson's residuals

Description

model_comp is a generic function that computes the model comparison measures (DIC and LPML) or the Pearson's residuals. Note that the Pearson's residuals are not available for bayes.nmr when df is either random or fixed but smaller than 2 since the variance of the random effects is not finite.

Usage

model_comp(object, type = "lpml", verbose = FALSE, ncores = NULL)

Arguments

object	the output model from fitting a meta analysis/regression model
type	the type of model comparison measure to compute; DIC or LPML
verbose	FALSE by default; If TRUE, then progress bar will appear
ncores	the number of CPU cores to use for parallel processing. It must not exceed the number of existing cores. If unspecified, it will default to 2 cores or the number of existing cores, whichever is smaller.

Value

dataframe containing the compute the model comparison measures

metapack documentation built on May 31, 2022, 1:05 a.m.