Man pages for BayesTools
Tools for Bayesian Analyses
| 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 |
