Package: LongCART 3.2

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

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.

Authors:Madan G Kundu

LongCART_3.2.tar.gz
LongCART_3.2.zip(r-4.5)LongCART_3.2.zip(r-4.4)LongCART_3.2.zip(r-4.3)
LongCART_3.2.tgz(r-4.4-any)LongCART_3.2.tgz(r-4.3-any)
LongCART_3.2.tar.gz(r-4.5-noble)LongCART_3.2.tar.gz(r-4.4-noble)
LongCART_3.2.tgz(r-4.4-emscripten)LongCART_3.2.tgz(r-4.3-emscripten)
LongCART.pdf |LongCART.html✨
LongCART/json (API)

# Install 'LongCART' in R:
install.packages('LongCART', repos = c('https://madanstat.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/madanstat/longcart/issues

Datasets:
  • ACTG175 - Converted AIDS Clinical Trials Group Study 175
  • GBSG2 - German Breast Cancer Study Group 2

On CRAN:

1.00 score 4 scripts 241 downloads 18 exports 93 dependencies

Last updated 3 years agofrom:7d771ef32f. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 13 2024
R-4.5-winNOTENov 13 2024
R-4.5-linuxNOTENov 13 2024
R-4.4-winNOTENov 13 2024
R-4.4-macNOTENov 13 2024
R-4.3-winOKNov 13 2024
R-4.3-macOKNov 13 2024

Exports:KMPlotLongCARTplot.LongCARTplot.SurvCARTPoSpredict.LongCARTpredict.SurvCARTProfilePlotStabCatStabCat.survStabContStabCont.survsucc_iasucc_ia_betabinom_onesucc_ia_betabinom_twoSurvCARTtext.LongCARTtext.SurvCART

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdoBydplyrevaluateexactRankTestsfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrisobandjpegkm.ciKMsurvknitrlabelinglatticelifecyclelme4magicmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrpartrstatixscalesSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2xtableyamlzoo