Overview | Data Augmentation | Outcome Schema And Generated States | Duplicate Transition Cleanup | Survival Plot | Prevalence Plot | Notes
Package: msmtools 2.2.1
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:
msmtools_2.2.1.tar.gz
msmtools_2.2.1.zip(r-4.7)msmtools_2.2.1.zip(r-4.6)msmtools_2.2.1.zip(r-4.5)
msmtools_2.2.1.tgz(r-4.6-any)msmtools_2.2.1.tgz(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
msmtools/json (API)
| # Install 'msmtools' in R: |
| install.packages('msmtools', repos = c('https://contefranz.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/contefranz/msmtools/issues
Pkgdown/docs site:https://contefranz.github.io
Datasets:
- hosp - Synthetic Hospital Admissions
markov-modelmsmmulti-state-modelssurvival-analysistime-to-event
Last updated from:de9e1ebacd. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 236 | ||
| source / vignettes | OK | 200 | ||
| linux-release-x86_64 | OK | 164 | ||
| macos-release-arm64 | OK | 133 | ||
| macos-oldrel-arm64 | OK | 235 | ||
| windows-devel | OK | 123 | ||
| windows-release | OK | 112 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 120 |
Exports:augmentpolishprevplotsurvplot
Dependencies:clicpp11data.tableexpmfarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMatrixmsmmvtnormpillarpkgconfigR6RColorBrewerrlangS7scalessurvivaltibbleutf8vctrsviridisLitewithr
