R: TBF Methodology Extension for Multinomial Outcomes

# TBF Methodology Extension for Multinomial Outcomes

## Documentation for package ‘TBFmultinomial’ version 0.1.3

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

TBFmultinomial-package | Objective Bayesian variable selection for multinomial regression and discrete time-to-event models with competing risks
AIC_BIC_based_marginalLikelihood | Marginal likelihoods based on AIC or BIC
all_formulas | Formulas of all the candidate models
as.data.frame.PMP | 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
TBFmultinomial | Objective Bayesian variable selection for multinomial regression and discrete time-to-event models with competing risks
TBF_ingredients | Ingredients to calculate the TBF
VAP_data | Data on VAP acquistion in one ICU