Package: JointFPM 1.2.1.9000

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. 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_1.2.1.9000.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'))

Peer review:

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

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

On CRAN:

recurrent-eventssurvival-analysis

4.73 score 7 stars 11 scripts 248 downloads 3 exports 23 dependencies

Last updated 5 months agofrom:b8fd7b1aef. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 18 2024
R-4.5-winOKOct 18 2024
R-4.5-linuxOKOct 18 2024
R-4.4-winOKOct 18 2024
R-4.4-macOKOct 18 2024
R-4.3-winOKOct 18 2024
R-4.3-macOKOct 18 2024

Exports:JointFPMmean_notest_dfs_JointFPM

Dependencies:bbmlebdsmatrixBHclidata.tablefastGHQuadgluelatticelifecycleMASSMatrixmatrixStatsmgcvmvtnormnlmenumDerivRcppRcppArmadillorlangrmutilrstpm2statmodsurvival