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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 |
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 |
Reference manual: | Transition.pdf |
Package source: | Transition_1.0.0.tar.gz |
Windows binaries: | r-devel: not available, 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 |
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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.
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