Transition: Characterise Transitions in Test Result Status in LongitudinalStudies
Analyse data from longitudinal studies to characterise changes in values of semi-quantitative outcome variables within individual subjects, using high performance C++ code to enable rapid processing of large datasets. A flexible methodology is available for codifying these state transitions.
| Version: | 1.0.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | Rcpp (≥ 1.0.14) |
| LinkingTo: | Rcpp |
| Published: | 2025-08-29 |
| DOI: | 10.32614/CRAN.package.Transition |
| Author: | Mark Eisler [aut, cre, cph], Ana Rabaza [aut] |
| Maintainer: | Mark Eisler <mark.eisler at bristol.ac.uk> |
| License: | MIT + fileLICENSE |
| URL: | https://mark-eis.github.io/Transition/ |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | Transition results |
Documentation:
| Reference manual: | Transition.html ,Transition.pdf |
Downloads:
| Package source: | Transition_1.0.1.tar.gz |
| Windows binaries: | r-devel:Transition_1.0.1.zip, r-release:Transition_1.0.1.zip, r-oldrel:Transition_1.0.1.zip |
| macOS binaries: | r-release (arm64):Transition_1.0.1.tgz, r-oldrel (arm64):Transition_1.0.1.tgz, r-release (x86_64):Transition_1.0.1.tgz, r-oldrel (x86_64):Transition_1.0.1.tgz |
| Old sources: | Transition archive |
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=Transitionto link to this page.