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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.

Installation

You can install the currently-released version from CRAN with this R command:

install.packages("Transition")

Alternatively, you can install the latest development version of Transition from GitHub with:

# install.packages("devtools")
devtools::install_github("Mark-Eis/Transition")

Authors: Mark C. Eisler and Ana V. Rabaza

eMail: Mark.Eisler@bristol.ac.uk, arabaza@pasteur.edu.uy

ORCID = 0000-0001-6843-3345, 0000-0002-9713-0797

Transition Package Overview: –

Methodology

Transition uses high performance C++ code seamlessly integrated into R using Rcpp to enable rapid processing of large longitudinal study datasets.

Disclaimer

While every effort is made to ensure this package functions as expected, the authors accept no responsibility for the consequences of errors.

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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