JAGS_bridgesampling_posterior: Prepare 'JAGS' posterior for 'bridgesampling'

In BayesTools: Tools for Bayesian Analyses

Prepare 'JAGS' posterior for 'bridgesampling'

Description

prepares posterior distribution for 'bridgesampling' by removing unnecessary parameters and attaching lower and upper bounds of parameters based on a list of prior distributions.

Usage

JAGS_bridgesampling_posterior(
  posterior,
  prior_list,
  add_parameters = NULL,
  add_bounds = NULL
)

Arguments

posterior	matrix of mcmc samples from the posterior distribution
prior_list	named list of prior distribution (names correspond to the parameter names) of parameters not specified within the formula_list
add_parameters	vector of additional parameter names that should be used in bridgesampling but were not specified in the prior_list
add_bounds	list with two name vectors ("lb" and "up") containing lower and upper bounds of the additional parameters that were not specified in the prior_list

Value

JAGS_bridgesampling_posterior returns a matrix of posterior samples with 'lb' and 'ub' attributes carrying the lower and upper boundaries.

BayesTools documentation built on July 26, 2023, 5:37 p.m.