extractEffects: Internal function to extract the fixed or random effects from...

In JWiley/postMCMCglmm: Average marginal predicted probabilities from Bayesian ordered probit models

Description

Extracts the fixed or random effects portions from an MCMCglmm object. Note for the random, these are the estimates themselves, not the variability in the estimates. The use options let you get either just the posterior mean or all the posterior samples.

Usage

  .extractEffects(object, use = c("all", "mean"),
    which = c("fixed", "random"), ...)

Arguments

object	An MCMCglmm object
use	A character string indicating whether to return “all” the posterior samples (the default) or only the “mean” of them.
which	A character string indicating whether to return the “fixed” (the default) or “random” effects.
...	Not currently used.

Value

A matrix of the posterior samples or means for the fixed or random effects.

See Also

fixef.MCMCglmm, ranef.MCMCglmm

JWiley/postMCMCglmm documentation built on May 7, 2019, 10:15 a.m.