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 [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.html , 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:

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