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: 1.1.0
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
Suggests: testthat (≥ 3.0.0)
Published: 2023-11-27
Author: Joshua P. Entrop ORCID iD [aut, cre, cph], Alessandro Gasparini [ctb], Mark Clements [ctb]
Maintainer: Joshua P. Entrop <joshuaentrop at>
License: CC BY 4.0
NeedsCompilation: no
Materials: README NEWS
CRAN checks: JointFPM results


Reference manual: JointFPM.pdf


Package source: JointFPM_1.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): JointFPM_1.1.0.tgz, r-oldrel (arm64): JointFPM_1.1.0.tgz, r-release (x86_64): JointFPM_1.0.1.tgz, r-oldrel (x86_64): JointFPM_1.0.1.tgz
Old sources: JointFPM archive


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