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Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models. The joint model can subsequently be used to predict the mean number of events in the presence of competing risks at different time points. Comparisons of the mean number of event functions, e.g. the differences in mean number of events between two exposure groups, are also available.
Version: | 1.2.1 |
Depends: | R (≥ 4.0) |
Imports: | rstpm2 (≥ 1.5.2), survival (≥ 3.2-13), data.table (≥ 1.14.2), rlang (≥ 1.1.0), lifecycle, rmutil, cli, matrixStats, statmod |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-06-19 |
DOI: | 10.32614/CRAN.package.JointFPM |
Author: | Joshua P. Entrop [aut, cre, cph], Alessandro Gasparini [ctb], Mark Clements [ctb] |
Maintainer: | Joshua P. Entrop <joshuaentrop at posteo.de> |
BugReports: | https://github.com/entjos/JointFPM/issues |
License: | CC BY 4.0 |
URL: | https://github.com/entjos/JointFPM, https://entjos.github.io/JointFPM/ |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | JointFPM results |
Reference manual: | JointFPM.pdf |
Package source: | JointFPM_1.2.1.tar.gz |
Windows binaries: | r-devel: JointFPM_1.2.1.zip, r-release: JointFPM_1.2.1.zip, r-oldrel: JointFPM_1.2.1.zip |
macOS binaries: | r-release (arm64): JointFPM_1.2.1.tgz, r-oldrel (arm64): JointFPM_1.2.1.tgz, r-release (x86_64): JointFPM_1.2.1.tgz, r-oldrel (x86_64): JointFPM_1.2.1.tgz |
Old sources: | JointFPM archive |
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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.