Package: JointFPM 1.3.0.9000

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_1.3.0.9000.tar.gz
JointFPM_1.3.0.9000.zip(r-4.7-any)JointFPM_1.3.0.9000.zip(r-4.6-any)JointFPM_1.3.0.9000.zip(r-4.5-any)
JointFPM_1.3.0.9000.tgz(r-4.6-any)JointFPM_1.3.0.9000.tgz(r-4.5-any)
JointFPM_1.3.0.9000.tar.gz(r-4.7-any)JointFPM_1.3.0.9000.tar.gz(r-4.6-any)
JointFPM_1.3.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
JointFPM/json (API)

# 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/docs site:https://entjos.github.io

Datasets:

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

On CRAN:

recurrent-events survival-analysis

4.19 score 7 stars 11 scripts 236 downloads 3 exports 22 dependencies

Last updated from:7c417c5a7d. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	142
source / vignettes	OK	173
linux-release-x86_64	OK	165
macos-release-arm64	OK	132
macos-oldrel-arm64	OK	158
windows-devel	OK	126
windows-release	OK	123
windows-oldrel	OK	141
wasm-release	OK	107

Exports:JointFPM mean_no test_dfs_JointFPM

Dependencies:bbmle bdsmatrix cli data.table fastGHQuad lattice lifecycle lsoda MASS Matrix matrixStats mgcv mvtnorm nlme numDeriv Rcpp RcppArmadillo rlang rmutil rstpm2 statmod survival

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Stacked version of the bladder1 dataset included in the survival package	bladder1_stacked
Joint FPMs for recurrent and competing events.	JointFPM
Non-parametric estimation of mean number of events	mean_no
Post-estimation function for JointFPMs	predict.JointFPM
Summarises a 'JointFPM' objects	summary.JointFPM
Tests DFs for JointFPMs.	test_dfs_JointFPM