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-4.7-any)LongCART_3.2.zip(r-4.6-any)LongCART_3.2.zip(r-4.5-any)
LongCART_3.2.tgz(r-4.6-any)LongCART_3.2.tgz(r-4.5-any)
LongCART_3.2.tar.gz(r-4.7-any)LongCART_3.2.tar.gz(r-4.6-any)
LongCART_3.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
LongCART/json (API)

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

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:

Conda:

1.00 score 5 scripts 293 downloads 18 exports 92 dependencies

Last updated from:7d771ef32f. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE182
source / vignettesOK213
linux-release-x86_64NOTE204
macos-release-arm64NOTE196
macos-oldrel-arm64NOTE326
windows-develNOTE111
windows-releaseNOTE107
windows-oldrelNOTE115
wasm-releaseOK130

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

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11curlDerivdoBydplyrexactRankTestsfarverforecastFormulafracdiffgenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtableisobandjpeglabelinglatticelifecyclelitedownlme4lmtestmagicmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvminqamodelrmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynompurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrpartrstatixS7scalesSparseMstringistringrsurvivalsurvminertibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxfunxml2zoo