Constructs tree for continuous longitudinal data and survival data using baseline covariates as partitioning variables according to the 'LongCART' and 'SurvCART' algorithm, respectively. Later also included functions to calculate conditional power and predictive power of success based on interim results and probability of success for a prospective trial.
|Depends:||R (≥ 3.4.0), nlme, rpart, survival, magic, survminer|
|Author:||Madan G Kundu|
|Maintainer:||Madan G Kundu <madan_g.kundu at yahoo.com>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||LongCART results|
|Windows binaries:||r-devel: LongCART_3.2.zip, r-release: LongCART_3.2.zip, r-oldrel: LongCART_3.2.zip|
|macOS binaries:||r-release (arm64): LongCART_3.2.tgz, r-oldrel (arm64): LongCART_3.2.tgz, r-release (x86_64): LongCART_3.2.tgz, r-oldrel (x86_64): LongCART_3.2.tgz|
|Old sources:||LongCART archive|
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