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JointFPM: A Parametric Model for Estimating the Mean Number of Events
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: |
1.2.0 |
| 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: |
2024-01-22 |
| 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 |
Documentation:
Downloads:
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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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