logLik.brma: Extract Log-Likelihood Matrix from brma Object

In RoBMA: Robust Bayesian Meta-Analyses

Extract Log-Likelihood Matrix from brma Object

Description

Extract the pointwise log-likelihood matrix from a brma model object. This is an S x K or S x G matrix where S is the number of posterior samples, K is the number of estimates, and G is the number of clusters. This method implements the S3 \'logLik\' generic for brma objects and returns the matrix of pointwise log-likelihoods (one column per observation, one row per sample).

Usage

## S3 method for class 'brma'
logLik(object, unit = "estimate", ...)

Arguments

object	a brma model object.
unit	output unit. See add_loo.
...	currently unused.

Details

The log-likelihood is computed for each observation at each posterior sample. For binomial and Poisson models, each observation consists of a pair of counts (ai/ci or x1i/x2i) that together define a single effect size estimate.

Value

An S x K or S x G matrix of log-likelihood values.

See Also

loo.brma

RoBMA documentation built on May 7, 2026, 5:08 p.m.