Characterise Transitions in Test Result Status in Longitudinal Studies R package Transition version 1.0.3 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. Software Depends: R (>= 4.1.0) Imports: Rcpp (>= 1.0.14) LinkingTo: Rcpp Mark Eisler <mark.eisler@bristol.ac.uk> Comprehensive R Archive Network (CRAN) Mark Eisler [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-6843-3345>), Ana Rabaza [aut] (ORCID: <https://orcid.org/0000-0002-9713-0797>) MIT + file LICENSE (https://CRAN.R-project.org/package=Transition/LICENSE) 2026-03-28 application/tgz https://CRAN.R-project.org/package=Transition doi:10.32614/CRAN.package.Transition