BayesTools              BayesTools
BayesTools_ensemble_tables
                        Create BayesTools ensemble summary tables
BayesTools_model_tables
                        Create BayesTools model tables
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_formula_design     Extract Fitted JAGS Formula Design Metadata
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
Savage_Dickey_BF        Compute Savage-Dickey inclusion Bayes factors
add_column              Adds column to BayesTools table
as_marginal_inference   Model-average marginal posterior distributions
                        and marginal Bayes factors based on BayesTools
                        JAGS model via 'marginal_inference'
as_mixed_posteriors     Export BayesTools JAGS model posterior
                        distribution as model-average posterior
                        distributions via 'mix_posteriors'
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
formula_add_intercept   Add an Intercept to a Formula
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
interpret_records       Normalize structured interpretation sources
is.prior                Reports whether x is a a prior object
is_prior_bias           Reports whether x is a composed
                        publication-bias prior
is_prior_phacking       Reports whether x is a p-hacking prior
kitchen_rolls           Kitchen Rolls data from Wagenmakers et al.
                        (2015) replication study.
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 Bayes factors
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
phack_pi_null           P-hacking calibration helpers
plot.prior              Plots a prior object
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_list         Plot a list of prior distributions
plot_transformed_prior
                        Plot Transformed Prior Densities
point                   Point mass distribution
print.BayesTools_table
                        Print a BayesTools table
print.prior             Prints a prior object
prior                   Creates a prior distribution
prior_PP                Creates a prior distribution for PET or PEESE
                        models
prior_bias              Creates a composed publication-bias prior
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 systematic reviews
prior_mixture           Creates a mixture of prior distributions
prior_phacking          Creates a prior distribution for a p-hacking
                        selection kernel
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
sd                      Creates generic for sd function
sd.prior                Prior sd
selection_backend_spec
                        Compile selection priors for backend consumers
transform_factor_samples
                        Transform factor posterior samples into
                        differences from the mean
transform_meandif_samples
                        Transform meandif posterior samples into
                        differences from the mean
transform_orthonormal_samples
                        Transform orthonomal posterior samples into
                        differences from the mean
transform_prior_samples
                        Transform prior samples to original scale
transform_scale_samples
                        Transform standardized posterior samples back
                        to original scale
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
