Recursive Partitioning for Longitudinal Data and Right Censored Data Using Baseline Covariates

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Documentation for package ‘LongCART’ version 3.2

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ACTG175 Converted AIDS Clinical Trials Group Study 175 (source: speff2trial package)
GBSG2 German Breast Cancer Study Group 2 (source: TH.data package)
KMPlot KM plot for SurvCART object
LongCART Longitudinal CART with continuous response via binary partitioning
plot Plot an SurvCART or LongCART Object
plot.LongCART Plot an SurvCART or LongCART Object
plot.SurvCART Plot an SurvCART or LongCART Object
PoS Probability of trial ans clinical success for a prospective trial using normal-normal approximation
predict Predicts according to the fitted SurvCART or LongCART tree
predict.LongCART Predicts according to the fitted SurvCART or LongCART tree
predict.SurvCART Predicts according to the fitted SurvCART or LongCART tree
ProfilePlot Population level longitudinal profile plot for sub-groups
StabCat parameter stability test for categorical partitioning variable
StabCat.surv parameter stability test for categorical partitioning variable
StabCont parameter stability test for continuous partitioning variable
StabCont.surv parameter stability test for continuous partitioning variable
succ_ia Conditional power and predictive power of success based on interim results using normal-normal approximation
succ_ia_betabinom_one Determines predictive power of success based on interim results and beta prior for one-sample binary data
succ_ia_betabinom_two Determines predictive power of success based on interim results and beta priors for two-sample binary data
SurvCART Survival CART with time to event response via binary partitioning
text Place text on SurvCART or LongCART tree
text.LongCART Place text on SurvCART or LongCART tree
text.SurvCART Place text on SurvCART or LongCART tree