Transition: Characterise Transitions in Test Result Status in Longitudinal Studies (original) (raw)
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 + file |
| URL: | https://mark-eis.github.io/Transition/ |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | Transition results |
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