Man pages for TBFmultinomial
TBF Methodology Extension for Multinomial Outcomes
| AIC_BIC_based_marginalLikelihood | Marginal likelihoods based on AIC or BIC |
| all_formulas | Formulas of all the candidate models |
| as.data.frame | Convert a PMP object into a data frame |
| CSVS | Cause-specific variable selection (CSVS) |
| model_priors | Prior model probability |
| PIPs_by_landmarking | Posterior inclusion probabilities (PIPs) by landmarking |
| plot_CSVS | Plot a CSVS object |
| PMP | Posterior model probability |
| PMP-class | Class for PMP objects |
| postInclusionProb | Posterior inclusion probability (PIP) |
| sample_multinomial | Samples from a PMP object |
| TBF | Test-based Bayes factor |
| TBF_ingredients | Ingredients to calculate the TBF |
| TBFmultinomial-package | Objective Bayesian variable selection for multinomial... |
| VAP_data | Data on VAP acquistion in one ICU |
