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)

Peer review:

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

On CRAN:

18 exports 0.00 score 93 dependencies 3 scripts 283 downloads

Last updated 2 years agofrom:7d771ef32f. Checks:OK: 3 NOTE: 4. Indexed: yes.

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

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11curldata.tableDerivdoBydplyrevaluateexactRankTestsfansifarverFormulagenericsggplot2ggpubrggrepelggsciggsignifggtextgluegridExtragridtextgtablehighrisobandjpegkm.ciKMsurvknitrlabelinglatticelifecyclelme4magicmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmgcvmicrobenchmarkminqamodelrmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpngpolynompurrrquantregR6RColorBrewerRcppRcppEigenrlangrpartrstatixscalesSparseMstringistringrsurvivalsurvminersurvMisctibbletidyrtidyselectutf8vctrsviridisLitewithrxfunxml2xtableyamlzoo