Transition: Characterise Transitions in Test Result Status in Longitudinal Studies
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: | 1.0.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | Rcpp (≥ 1.0.14) |
| LinkingTo: | Rcpp |
| Published: | 2025-07-08 |
| Author: | Mark Eisler  [aut,
cre, cph],
Ana Rabaza [aut] |
| Maintainer: | Mark Eisler <mark.eisler at bristol.ac.uk> |
| License: | MIT + file LICENSE |
| URL: | https://mark-eis.github.io/Transition/ |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | Transition results |
Documentation:
| Reference manual: | Transition.pdf |
Downloads:
| Package source: | Transition_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available |
Linking:
Please use the canonical form https://CRAN.R-project.org/package=Transition to link to this page.