dot-averagePosterior: Average Over Posterior Predictions

In brmsmargins: Bayesian Marginal Effects for 'brms' Models

Average Over Posterior Predictions

Description

Internal function that averages over posterior predictions using either rowMeans() or rowBootMeans(), the latter being useful to incorporate uncertainty from the inputs being used to generate predictions.

Usage

.averagePosterior(posterior, resample = 0L, seed = FALSE)

Arguments

posterior	A posterior matrix type object. It is assumed that different predictions to be averaged over are on different columns. Different posterior draws are on different rows.
resample	An integer indicating the number of bootstrap resamples of the posterior predictions to use when calculating summaries. Defaults to 0L. See the details section for more informations as its implementation is experimental and it may not operate as one would expect.
seed	A seed for random number generation. Defaults to FALSE, which means no seed is set. Only used if resample is a positive, non-zero integer.

Value

A vector of the averaged posterior.

brmsmargins documentation built on May 20, 2022, 1:07 a.m.