Package: JointFPM 1.2.2.9000

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 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.

Authors:Joshua P. Entrop [aut, cre, cph], Alessandro Gasparini [ctb], Mark Clements [ctb]

JointFPM_1.2.2.9000.tar.gz
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JointFPM.pdf |JointFPM.html
JointFPM/json (API)
NEWS

# Install 'JointFPM' in R:
install.packages('JointFPM', repos = c('https://entjos.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/entjos/jointfpm/issues

Pkgdown site:https://entjos.github.io

Datasets:
  • bladder1_stacked - Stacked version of the bladder1 dataset included in the survival package

On CRAN:

Conda:

recurrent-eventssurvival-analysis

4.19 score 7 stars 11 scripts 339 downloads 3 exports 23 dependencies

Last updated 1 months agofrom:636c6e75fa. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 22 2025
R-4.5-winOKMar 22 2025
R-4.5-macOKMar 22 2025
R-4.5-linuxOKMar 22 2025
R-4.4-winOKMar 22 2025
R-4.4-macOKMar 22 2025
R-4.4-linuxOKMar 22 2025
R-4.3-winOKMar 22 2025
R-4.3-macOKMar 22 2025

Exports:JointFPMmean_notest_dfs_JointFPM

Dependencies:bbmlebdsmatrixBHclidata.tablefastGHQuadgluelatticelifecycleMASSMatrixmatrixStatsmgcvmvtnormnlmenumDerivRcppRcppArmadillorlangrmutilrstpm2statmodsurvival