Random Forest with Multivariate Longitudinal Predictors


[Up] [Top]

Documentation for package ‘DynForest’ version 1.1.3

Help Pages

compute_gVIMP Compute the grouped importance of variables (gVIMP) statistic
compute_OOBerror Compute the Out-Of-Bag error (OOB error)
compute_VIMP Compute the importance of variables (VIMP) statistic
data_simu1 data_simu1 dataset
data_simu2 data_simu1 dataset
DynForest Random forest with multivariate longitudinal endogenous covariates
getTree Extract some information about the split for a tree by user
getTreeNodes 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
var_depth Extract characteristics from the trees building process