Package: joineR 1.2.9

joineR: Joint Modelling of Repeated Measurements and Time-to-Event Data

Analysis of repeated measurements and time-to-event data via random effects joint models. Fits the joint models proposed by Henderson and colleagues <doi:10.1093/biostatistics/1.4.465> (single event time) and by Williamson and colleagues (2008) <doi:10.1002/sim.3451> (competing risks events time) to a single continuous repeated measure. The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-varying covariates. The longitudinal outcome is modelled using a linear mixed effects model. The association is captured by a latent Gaussian process. The model is estimated using an Expectation Maximization algorithm. Some plotting functions and the variogram are also included. This project is funded by the Medical Research Council (Grant numbers G0400615 and MR/M013227/1).

Authors:Pete Philipson [aut], Ines Sousa [aut], Peter J. Diggle [aut], Paula Williamson [aut], Ruwanthi Kolamunnage-Dona [aut], Robin Henderson [aut], Graeme L. Hickey [aut, cre], Maria Sudell [ctb], Medical Research Council [fnd]

joineR_1.2.9.tar.gz
joineR_1.2.9.zip(r-4.7)joineR_1.2.9.zip(r-4.6)joineR_1.2.9.zip(r-4.5)
joineR_1.2.9.tgz(r-4.6-any)joineR_1.2.9.tgz(r-4.5-any)
joineR_1.2.9.tar.gz(r-4.7-any)joineR_1.2.9.tar.gz(r-4.6-any)
joineR_1.2.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
joineR/json (API)

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

Bug tracker:https://github.com/graemeleehickey/joiner/issues

Pkgdown/docs site:https://graemeleehickey.github.io

Datasets:
  • aids - AIDS drug trial data
  • epileptic - Dose calibration of anti-epileptic drugs data
  • heart.valve - Aortic valve replacement surgery data
  • liver - Liver cirrhosis drug trial data
  • mental - Mental health trial data

On CRAN:

Conda:

biostatisticscompeting-riskscoxjoinerlongitudinal-datarepeated-measurementsrepeated-measuresstatisicsstatistical-methodssurvivalsurvival-analysistime-to-event

7.52 score 18 stars 96 scripts 3.2k downloads 6 mentions 14 exports 7 dependencies

Last updated from:0aefb6811f. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK214
source / vignettesOK228
linux-release-x86_64OK225
macos-release-arm64OK148
macos-oldrel-arm64OK154
windows-develOK198
windows-releaseOK191
windows-oldrelOK222
wasm-releaseOK98

Exports:glancejointjointdatajointplotjointSEsample.jointdatasimjointsummarybalSurvtidyto.balancedto.unbalancedUniqueVariablesvariogram

Dependencies:genericslatticeMASSMatrixnlmestatmodsurvival

Competing risks
Example | Background | Data | Model | Conclusion | Acknowledgements | References
Rendered fromcompeting-risks.Rmdusingknitr::rmarkdown

Last update: 2026-06-28
Started: 2017-03-02

joineR
Description | Unbalanced and balanced data formats | Motivating Examples | The heart.valve data-set | The liver data | The mental data-set | The epileptic data-set | The aids data-set | Converting between balanced and unbalanced data-formats | Creating a jointdata object | Plotting a jointdata object | Exploring covariance structure | Model-fitting | The random effects model | Acknowledgements | References
Rendered fromjoineR.Rmdusingknitr::rmarkdown

Last update: 2026-06-28
Started: 2017-01-05