# Random Forest with Multivariate Longitudinal Predictors

## Documentation for package ‘DynForest’ version 1.2.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

compute_gvimp | Compute the grouped importance of variables (gVIMP) statistic
compute_ooberror | Compute the Out-Of-Bag error (OOB error)
compute_vardepth | Extract characteristics from the trees building process
compute_vimp | Compute the importance of variables (VIMP) statistic
data_simu1 | data_simu1 dataset
data_simu2 | data_simu2 dataset
dynforest | Random forest with multivariate longitudinal endogenous covariates
get_tree | Extract some information about the split for a tree by user
get_treenodes | Extract nodes identifiers for a given tree
pbc2 | pbc2 dataset
plot.dynforest | Plot function in dynforest
plot.dynforestgvimp | Plot function in dynforest
plot.dynforestpred | Plot function in dynforest
plot.dynforestvardepth | Plot function in dynforest
plot.dynforestvimp | Plot function in dynforest
predict.dynforest | Prediction using dynamic random forests
print.dynforest | Print function
print.dynforestgvimp | Print function
print.dynforestoob | Print function
print.dynforestpred | Print function
print.dynforestvardepth | Print function
print.dynforestvimp | Print function
summary.dynforest | Display the summary of dynforest
summary.dynforestoob | Display the summary of dynforest