Package: msmtools 2.2.1

Francesco Grossetti

msmtools: Building Augmented Data to Run Multi-State Models with 'msm' Package

A fast and general method for restructuring classical longitudinal observational data into augmented transition data suitable for multi-state modeling with the 'msm' package. Works with any longitudinal data where subjects accumulate repeated observations with start and end times and an optional terminal outcome. Methods are described in Grossetti, Ieva and Paganoni (2018) <doi:10.1007/s10729-017-9400-z>.

Authors:Francesco Grossetti [aut, cre]

msmtools_2.2.1.tar.gz
msmtools_2.2.1.tar.gz(r-4.7-any)msmtools_2.2.1.tar.gz(r-4.6-any)
msmtools_2.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
msmtools/json (API)
NEWS

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

Bug tracker:https://github.com/contefranz/msmtools/issues

Datasets:
  • hosp - Synthetic Hospital Admissions

On CRAN:

Conda:

2.93 score 17 scripts 196 downloads 1 mentions 4 exports 30 dependencies

Last updated from:00d08017b3. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK149
source / vignettesOK205
linux-release-x86_64OK145
wasm-releaseOK125

Exports:augmentpolishprevplotsurvplot

Dependencies:clicpp11data.tableexpmfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigR6RColorBrewerrlangS7scalessurvivaltibbleutf8vctrsviridisLitewithr

Building augmented data for multi-state models

| Francesco Grossetti | [email protected]

Rendered frommsmtools.Rmdusingknitr::rmarkdown_notangleon Jun 08 2026.

Last update: 2026-06-08
Started: 2016-04-26