R: A Survival Tree Based on Stabilized Score Tests for High-dimensional Covariates

# A Survival Tree Based on Stabilized Score Tests for High-dimensional Covariates

## Documentation for package ‘uni.survival.tree’ version 1.5

- DESCRIPTION file

## Help Pages

feature.selected | The names of features that are selected in a tree
KM.split | Kaplan-Meier estimator of binary splitting
risk.classification | The risk ranks of the samples predicted by a tree
uni.logrank | Univariate binary splits by the logrank test
uni.tree | A survival tree based on stabilized score tests
X.pathway_discrete.balanced | Generate a matrix of gene expressions (discrete version of X.pathway() against to Emura (2012)) in the presence of gene pathways
X.pathway_discrete.imbalanced | Generate a matrix of unbalance gene expressions (discrete version of X.pathway() against to Emura (2012)) in the presence of gene pathways