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

Documentation for package ‘LongCART’ version 3.1

ACTG175	Converted AIDS Clinical Trials Group Study 175 (source: speff2trial package)
GBSG2	German Breast Cancer Study Group 2 (source: TH.data package)
KMPlot.SurvCART	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
ProfilePlot.LongCART	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