Man pages for lgaborini/rstanBF
rstanBF computes the Bayes Factor for data in specified two-level hierarchical models
| available_models | Get available models in rstanBF |
| compute_BF_Stan | Sample and compute BF for various models using Stan |
| digamma1 | ML estimator of Dirichlet parameters |
| dirichlet.mle | Maximum Likelihood Estimation of the Dirichlet Distribution |
| fun_estimate_DirDirGamma_hyperparameter | Compute Dirichlet-DirichletGamma hyperparameters, using 'MLE'... |
| fun_estimate_DirDir_hyperparameter | Compute Dirichlet hyperparameters, using 'MLE' or 'naive'... |
| fun_estimate_Dirichlet_from_samples | Estimate Dirichlet parameters for samples from multiple... |
| fun_estimate_Dirichlet_from_single_source | Estimate Dirichlet parameter from a dataframe using ML or... |
| fun_var_names | Generate variable names representing a range |
| is.stanBF | Check if an object is a stanBF object |
| label_parse | ggplot2 labeller function for plotmath labels |
| make_tbl_variable_range | Make a tibble with columns representing a range |
| named_vector_to_tibble | Convert a named vector to a tibble |
| plot_posteriors | Plot posterior distributions of a stanBF object |
| plot_posteriors.stanBF_turn | Make boxplots for turn-point posteriors |
| posterior_pred | Extract posterior predictive distributions |
| print.stanBF | Print a 'stanBF' object |
| prior_pred | Extract prior predictive distributions |
| replace_names | Replace names using a pattern. |
| rstanBF-package | The 'rstanBF' package. |
| samples | Extract posterior samples from a stanBF object |
| stanBF_elicit_hyperpriors | Elicit hyperpriors to use for Stan BF |
| stanBF_prepare_rsamplestudy_data | Convert the output of rsamplestudy to rstanBF data parameter |
| stanBF_turn | Extract theta posterior samples for a turn-like object |
