ensemble_inference: Compute posterior probabilities and inclusion Bayes factors

In BayesTools: Tools for Bayesian Analyses

Compute posterior probabilities and inclusion Bayes factors

Description

Computes prior probabilities, posterior probabilities, and inclusion Bayes factors based either on (1) a list of models, vector of parameters, and a list of indicators the models represent the null or alternative hypothesis for each parameter, (2) on prior model odds, marginal likelihoods, and indicator whether the models represent the null or alternative hypothesis, or (3) list of models for each model.

Usage

compute_inference(prior_weights, margliks, is_null = NULL, conditional = FALSE)

ensemble_inference(model_list, parameters, is_null_list, conditional = FALSE)

models_inference(model_list)

Arguments

prior_weights	vector of prior model odds
margliks	vector of marginal likelihoods
is_null	logical vector of indicators specifying whether the model corresponds to the null or alternative hypothesis (or an integer vector indexing models corresponding to the null hypothesis)
conditional	whether prior and posterior model probabilities should be returned only for the conditional model. Defaults to FALSE
model_list	list of models, each of which contains marginal likelihood estimated with bridge sampling marglik and prior model odds prior_weights
parameters	vector of parameters names for which inference should be drawn
is_null_list	list with entries for each parameter carrying either logical vector of indicators specifying whether the model corresponds to the null or alternative hypothesis (or an integer vector indexing models corresponding to the null hypothesis)

Value

compute_inference returns a named list of prior probabilities, posterior probabilities, and Bayes factors, ppoint gives the distribution function, ensemble_inference gives a list of named lists of inferences for each parameter, and models_inference returns a list of models, each expanded by the inference list.

See Also

mix_posteriors BayesTools_ensemble_tables

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