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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
DOI: 10.32614/CRAN.package.Transition
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: Transition_1.0.0.zip, r-release: Transition_1.0.0.zip, r-oldrel: Transition_1.0.0.zip
macOS binaries: r-release (arm64): Transition_1.0.0.tgz, r-oldrel (arm64): Transition_1.0.0.tgz, r-release (x86_64): Transition_1.0.0.tgz, r-oldrel (x86_64): Transition_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Transition to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.