All functions

BayesTools

BayesTools

ensemble_estimates_table() ensemble_inference_table() ensemble_summary_table() ensemble_diagnostics_table()

Create BayesTools ensemble summary tables

model_summary_table() runjags_estimates_table() runjags_estimates_empty_table()

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_fit_settings() JAGS_check_and_list_autofit_settings()

Check and list 'JAGS' fitting settings

JAGS_check_convergence()

Assess convergence of a runjags model

JAGS_fit()

Fits a 'JAGS' model

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

check_bool() check_char() check_real() check_int() check_list()

Check input

density(<prior>)

Prior density

compute_inference() ensemble_inference() models_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() is.prior.point() is.prior.none() is.prior.simple() is.prior.PET() is.prior.PEESE() is.prior.weightfunction()

Reports whether x is a a prior object

lines(<prior>)

Add prior object to a plot

lines_prior_list()

Add list of prior objects to a plot

mean(<prior>)

Prior mean

mix_posteriors()

Model-average posterior distributions

plot(<prior>)

Plots a prior object

plot_models()

Plot estimates from models

plot_posterior()

Plot samples from the mixed posterior distributions

plot_prior_list()

Plot a list of prior distributions

dpoint() rpoint() ppoint() qpoint()

Point mass distribution

print(<BayesTools_table>)

Print a BayesTools table

print(<prior>)

Prints a prior object

prior() prior_none()

Creates a prior distribution

prior_PET() prior_PEESE()

Creates a prior distribution for PET or PEESE models

rng(<prior>) cdf(<prior>) ccdf(<prior>) lpdf(<prior>) pdf(<prior>) quant(<prior>) mcdf(<prior>) mccdf(<prior>) mlpdf(<prior>) mpdf(<prior>) mquant(<prior>)

Elementary prior related functions

rng() cdf() ccdf() quant() lpdf() pdf() mcdf() mccdf() mquant() mlpdf() mpdf()

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_weightfunction()

Creates a prior distribution for a weight function

range(<prior>)

Prior range

sd()

Creates generic for sd function

sd(<prior>)

Prior sd

var()

Creates generic for var function

var(<prior>)

Prior var

mdone.sided() mdtwo.sided() mdone.sided_fixed() mdtwo.sided_fixed() rone.sided() rtwo.sided() rone.sided_fixed() rtwo.sided_fixed() mpone.sided() mptwo.sided() mpone.sided_fixed() mptwo.sided_fixed() mqone.sided() mqtwo.sided() mqone.sided_fixed() mqtwo.sided_fixed()

Weight functions

weightfunctions_mapping()

Create coefficient mapping between multiple weightfunctions