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iBST (version 1.2)

Improper Bagging Survival Tree

Description

Fit a full or subsampling bagging survival tree on a mixture of population (susceptible and nonsusceptible) using either a pseudo R2 criterion or an adjusted Logrank criterion. The predictor is evaluated using the Out Of Bag Integrated Brier Score (IBS) and several scores of importance are computed for variable selection. The thresholds values for variable selection are computed using a nonparametric permutation test. See 'Cyprien Mbogning' and 'Philippe Broet' (2016) for an overview about the methods implemented in this package.

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Version

Install

install.packages('iBST')

Monthly Downloads

218

Version

1.2

License

GPL (>= 2)

Maintainer

Cyprien Mbogning

Last Published

January 12th, 2023

Functions in iBST (1.2)

Bagg_pred_Surv

Bagging survival tree prediction
rcpp_hello_world

Simple function using Rcpp
PseudoR2.Cure

Pseudo R2 criterion
burn

burn dataset
tree2indicators

From a tree to indicators (or dummy variables)
improper_tree

imprper survival tree
iBST-package

improper Bagging Subsample Survival Tree
permute_select_surv

permutation variable selection
Bagg_Surv

Bagging improper survival trees