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 |