Random Forest with Multivariate Longitudinal Predictors

---

Documentation for package ‘DynForest’ version 1.1.1

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

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 results about the most predictive variables used in DynForest
plot.DynForestgVIMP	Plot results about the most predictive variables used in DynForest
plot.DynForestVarDepth	Plot results about the most predictive variables used in DynForest
plot.DynForestVIMP	Plot results about the most predictive variables used in DynForest
plot_CIF	Plot the predictive individual Cumulative Incidence Function (CIF) for the interest cause
plot_nodeCIF	Plot the estimated Cumulative Incidence Functions (CIF) for given tree nodes
predict.DynForest	Prediction using dynamic random forests
summary.DynForest	Display the summary of DynForest
var_depth	Extract characteristics from the trees building process