add_column | Adds column to BayesTools table |
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.independent | Independent contrast matrix |
contr.meandif | Mean difference contrast matrix |
contr.orthonormal | Orthornomal contrast matrix |
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_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... |
var | Creates generic for var function |
var.prior | Prior var |
weightfunctions | Weight functions |
weightfunctions_mapping | Create coefficient mapping between multiple weightfunctions |
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