A Parametric Model for Estimating the Mean Number of Events R package JointFPM version 1.3.0 Implementation of a parametric joint model for modelling recurrent and competing event processes using generalised survival models as described in Entrop et al., (2025) <doi:10.1002/bimj.70038>. 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. Software Depends: R (>= 4.1.0) 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) Joshua P. Entrop <joshuaentrop@posteo.de> Comprehensive R Archive Network (CRAN) Joshua P. Entrop [aut, cre, cph] (ORCID: <https://orcid.org/0000-0003-1614-8096>), Alessandro Gasparini [ctb], Mark Clements [ctb] CC BY 4.0 2025-07-26 application/tgz https://CRAN.R-project.org/package=JointFPM doi:10.32614/CRAN.package.JointFPM