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:
JointFPM_1.2.1.9000.tar.gz
JointFPM_1.2.1.9000.zip(r-4.5)JointFPM_1.2.1.9000.zip(r-4.4)JointFPM_1.2.1.9000.zip(r-4.3)
JointFPM_1.2.1.9000.tgz(r-4.4-any)JointFPM_1.2.1.9000.tgz(r-4.3-any)
JointFPM_1.2.1.9000.tar.gz(r-4.5-noble)JointFPM_1.2.1.9000.tar.gz(r-4.4-noble)
JointFPM_1.2.1.9000.tgz(r-4.4-emscripten)JointFPM_1.2.1.9000.tgz(r-4.3-emscripten)
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
- bladder1_stacked - Stacked version of the bladder1 dataset included in the survival package
recurrent-eventssurvival-analysis
Last updated 5 months agofrom:b8fd7b1aef. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:JointFPMmean_notest_dfs_JointFPM
Dependencies:bbmlebdsmatrixBHclidata.tablefastGHQuadgluelatticelifecycleMASSMatrixmatrixStatsmgcvmvtnormnlmenumDerivRcppRcppArmadillorlangrmutilrstpm2statmodsurvival
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 |