Package: MST 2.2

MST: Multivariate Survival Trees

Constructs trees for multivariate survival data using marginal and frailty models. Grows, prunes, and selects the best-sized tree.

Authors:Xiaogang Su [aut], Peter Calhoun [aut, cre], Juanjuan Fan [aut]

MST_2.2.tar.gz
MST_2.2.zip(r-4.5)MST_2.2.zip(r-4.4)MST_2.2.zip(r-4.3)
MST_2.2.tgz(r-4.4-any)MST_2.2.tgz(r-4.3-any)
MST_2.2.tar.gz(r-4.5-noble)MST_2.2.tar.gz(r-4.4-noble)
MST_2.2.tgz(r-4.4-emscripten)MST_2.2.tgz(r-4.3-emscripten)
MST.pdf |MST.html
MST/json (API)
NEWS

# Install 'MST' in R:
install.packages('MST', repos = c('https://pcalhoun1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 6 scripts 187 downloads 254 mentions 3 exports 10 dependencies

Last updated 5 years agofrom:e77b38ad09. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-winOKOct 31 2024
R-4.5-linuxOKOct 31 2024
R-4.4-winOKOct 31 2024
R-4.4-macOKOct 31 2024
R-4.3-winOKOct 31 2024
R-4.3-macOKOct 31 2024

Exports:getTreeMSTrmultime

Dependencies:FormulainumlatticelibcoinMASSMatrixmvtnormpartykitrpartsurvival

Readme and manuals

Help Manual

Help pageTopics
Multivariate Survival Trees PackageMST-package as.numeric.factor bootstrap.grow.prune bootstrap.size de gr0 grow.MST is.odd listIntoParty listIntoTree loglik0 MST.plot MST.plot.latex obtain.btree ordinalizeFunc partition.MST power.set prune.size prune.size.testsample send.down sortTree
Extract initial or best-sized treegetTree
Multivariate Survival TreesMST splitting.stat.MST1 splitting.stat.MST2 splitting.stat.MST3 splitting.stat.MST4
Random Multivariate Survival Datarmultime
Tooth Loss DataTeeth