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-4.7)MST_2.2.zip(r-4.6)MST_2.2.zip(r-4.5)
MST_2.2.tgz(r-4.6-any)MST_2.2.tgz(r-4.5-any)
MST_2.2.tar.gz(r-4.7-any)MST_2.2.tar.gz(r-4.6-any)
MST_2.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MST/json (API)
NEWS

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

On CRAN:

Conda:

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 200 downloads 254 mentions 3 exports 10 dependencies

Last updated from:e77b38ad09. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK120
source / vignettesOK151
linux-release-x86_64OK117
macos-release-arm64OK91
macos-oldrel-arm64OK124
windows-develOK99
windows-releaseOK90
windows-oldrelOK76
wasm-releaseOK105

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