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 ORCID iD [aut, cre, cph], Ana Rabaza ORCID iD [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.