ranef.moultmcmc: Extract Individual-Level Estimates

In pboesu/moultmcmc: Bayesian Inference for Avian Moult Phenology Models

Extract Individual-Level Estimates

Description

Extract the individual-level ('random') effects from a moultmcmc object.

Usage

## S3 method for class 'moultmcmc'
ranef(object, summary = TRUE, probs = c(0.025, 0.975), pars = NULL, ...)

Arguments

object	a moultmcmc model
summary	logical, should posterior samples be summarised for each parameter
probs	numeric, desired quantiles for summary statistics
pars	Optional names of coefficients to extract. By default, all coefficients are extracted.
...	Currently ignored.

Value

If summary is TRUE, a matrix for the individual-level effects. If summary is FALSE, a matrix with one row per posterior draw and one column per individual-level effect.

pboesu/moultmcmc documentation built on Feb. 19, 2023, 6:03 a.m.