Man pages for BayesTools
Tools for Bayesian Analyses

add_column	Adds column to BayesTools table
as_marginal_inference	Model-average marginal posterior distributions and marginal...
as_mixed_posteriors	Export BayesTools JAGS model posterior distribution as...
BayesTools	BayesTools
BayesTools_ensemble_tables	Create BayesTools ensemble summary tables
BayesTools_model_tables	Create BayesTools model tables
bridgesampling_object	Create a 'bridgesampling' object
check_input	Check input
contr.BayesTools	BayesTools Contrast Matrices
density.prior	Prior density
ensemble_inference	Compute posterior probabilities and inclusion Bayes factors
format_BF	Format Bayes factor
geom_prior	Add prior object to a ggplot
geom_prior_list	Add list of prior objects to a plot
inclusion_BF	Compute inclusion Bayes factors
interpret	Interpret ensemble inference and estimates
is.prior	Reports whether x is a a prior object
JAGS_add_priors	Add 'JAGS' prior
JAGS_bridgesampling	Compute marginal likelihood of a 'JAGS' model
JAGS_bridgesampling_posterior	Prepare 'JAGS' posterior for 'bridgesampling'
JAGS_check_and_list	Check and list 'JAGS' fitting settings
JAGS_check_convergence	Assess convergence of a runjags model
JAGS_diagnostics	Plot diagnostics of a 'JAGS' model
JAGS_evaluate_formula	Evaluate JAGS formula using posterior samples
JAGS_fit	Fits a 'JAGS' model
JAGS_formula	Create JAGS formula syntax and data object
JAGS_get_inits	Create initial values for 'JAGS' model
JAGS_marglik_parameters	Extract parameters for 'JAGS' priors
JAGS_marglik_priors	Compute marginal likelihood for 'JAGS' priors
JAGS_to_monitor	Create list of monitored parameters for 'JAGS' model
kitchen_rolls	Kitchen Rolls data from...
lines.prior	Add prior object to a plot
lines_prior_list	Add list of prior objects to a plot
marginal_inference	Model-average marginal posterior distributions and marginal...
marginal_posterior	Model-average marginal posterior distributions
mean.prior	Prior mean
mix_posteriors	Model-average posterior distributions
mpoint	Multivariate point mass distribution
parameter_names	Clean parameter names from JAGS
plot_marginal	Plot samples from the marginal posterior distributions
plot_models	Plot estimates from models
plot_posterior	Plot samples from the mixed posterior distributions
plot.prior	Plots a prior object
plot_prior_list	Plot a list of prior distributions
point	Point mass distribution
print.BayesTools_table	Print a BayesTools table
print.prior	Prints a prior object
prior	Creates a prior distribution
prior_factor	Creates a prior distribution for factors
prior_functions	Elementary prior related functions
prior_functions_methods	Creates generics for common statistical functions
prior_informed	Creates an informed prior distribution based on research
prior_informed_medicine_names	Names of medical subfields from the Cochrane database of...
prior_mixture	Creates a mixture of prior distributions
prior_PP	Creates a prior distribution for PET or PEESE models
prior_spike_and_slab	Creates a spike and slab prior distribution
prior_weightfunction	Creates a prior distribution for a weight function
range.prior	Prior range
remove_column	Removes column to BayesTools table
Savage_Dickey_BF	Compute Savage-Dickey inclusion Bayes factors
sd	Creates generic for sd function
sd.prior	Prior sd
transform_factor_samples	Transform factor posterior samples into differences from the...
transform_meandif_samples	Transform meandif posterior samples into differences from the...
transform_orthonormal_samples	Transform orthonomal posterior samples into differences from...
update.BayesTools_table	Updates BayesTools table
var	Creates generic for var function
var.prior	Prior var
weightfunctions	Weight functions
weightfunctions_mapping	Create coefficient mapping between multiple weightfunctions