as_marginal_inference: Model-average marginal posterior distributions and marginal...

In FBartos/BayesTools: Tools for Bayesian Analyses

Model-average marginal posterior distributions and marginal Bayes factors based on BayesTools JAGS model via marginal_inference

Description

Creates marginal model-averaged and conditional posterior distributions based on a BayesTools JAGS model, vector of parameters, formula, and a list of conditional specifications for each parameter. Computes inclusion Bayes factors for each marginal estimate via a Savage-Dickey density approximation.

Usage

as_marginal_inference(
  model,
  marginal_parameters,
  parameters,
  conditional_list,
  conditional_rule,
  formula,
  null_hypothesis = 0,
  normal_approximation = FALSE,
  n_samples = 10000,
  silent = FALSE,
  force_plots = FALSE
)

Arguments

model	model fit via the JAGS_fit function
marginal_parameters	parameters for which the the marginal summary should be created
parameters	all parameters included in the model_list that are relevant for the formula (all of which need to have specification of is_null_list)
conditional_list	list of conditional parameters for each marginal parameter
conditional_rule	a character string specifying the rule for conditioning. Either "AND" or "OR". Defaults to "AND".
formula	model formula (needs to be specified if parameter was part of a formula)
null_hypothesis	point null hypothesis to test. Defaults to 0
normal_approximation	whether the height of prior and posterior density should be approximated via a normal distribution (rather than kernel density). Defaults to FALSE.
n_samples	number of samples to be drawn for the model-averaged prior distribution
silent	whether warnings should be returned silently. Defaults to FALSE
force_plots	temporal argument allowing to generate conditional posterior samples suitable for prior and posterior plots. Only available when conditioning on a single parameter.

Value

as_marginal_inference returns an object of class 'marginal_inference'.

See Also

marginal_inference as_mixed_posteriors

FBartos/BayesTools documentation built on Jan. 20, 2025, 8:15 a.m.