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joineRML
View on CRAN: Click
here
Download and install joineRML package within the R console
Install from CRAN:
install.packages("joineRML")
Install from Github:
library("remotes")
install_github("cran/joineRML")
Install by package version:
library("remotes")
install_version("joineRML", "0.4.7")
Attach the package and use:
library("joineRML")
Maintained by
Graeme L. Hickey
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.joineRML . https://github.com/graemeleehickey/joineRML/issues . https://github.com/graemeleehickey/joineRML . joineRML citation info . joineRML results . joineRML.pdf . joineRML and the broom package . joineRML . Technical details of joineRML . joineRML_0.4.7.tar.gz . joineRML_0.4.7.zip . joineRML_0.4.7.zip . joineRML_0.4.7.zip . joineRML_0.4.7.tgz . joineRML_0.4.7.tgz . joineRML_0.4.7.tgz . joineRML_0.4.7.tgz . joineRML_0.4.7.tgz . joineRML_0.4.7.tgz . joineRML archive . https://CRAN.R-project.org/package=joineRML .
First Published: 2016-12-27
Latest Update: 2023-01-20
Description:
Fits the joint model proposed by Henderson and colleagues (2000)
, but extended to the case of multiple
continuous longitudinal measures. The time-to-event data is modelled using a
Cox proportional hazards regression model with time-varying covariates. The
multiple longitudinal outcomes are modelled using a multivariate version of the
Laird and Ware linear mixed model. The association is captured by a multivariate
latent Gaussian process. The model is estimated using a Monte Carlo Expectation
Maximization algorithm. This project was funded by the Medical Research Council
(Grant number MR/M013227/1).
How to cite:
Graeme L. Hickey (2016). joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes. R package version 0.4.7, https://cran.r-project.org/web/packages/joineRML. Accessed 19 Feb. 2025.
Previous versions and publish date:
0.1.0 (2016-12-27 13:36), 0.1.1 (2016-12-30 17:17), 0.2.0 (2017-03-27 16:04), 0.2.1 (2017-04-25 23:34), 0.2.2 (2017-05-01 16:42), 0.3.0 (2017-07-23 18:25), 0.4.0 (2017-11-12 01:33), 0.4.1 (2018-01-21 21:11), 0.4.2 (2018-05-29 01:00), 0.4.3 (2020-02-17 12:50), 0.4.4 (2020-04-09 11:30), 0.4.5 (2021-01-05 17:10), 0.4.6 (2023-01-20 05:50)
Other packages that cited joineRML R package
View joineRML citation profile
Other R packages that joineRML depends,
imports, suggests or enhances
Complete documentation for joineRML
Functions, R codes and Examples using
the joineRML R package
Some associated functions: baseHaz . bootSE . confint.mjoint . dynLong . dynSurv . epileptic.qol . fitted.mjoint . fixef.mjoint . formula.mjoint . getVarCov.mjoint . heart.valve . joineRML . logLik.mjoint . mjoint . mjointject . mjoint_tidiers . pbc2 . plot.dynLong . plot.dynSurv . plot.mjoint . plot.ranef.mjoint . plotConvergence . ranef.mjoint . reexports . renal . residuals.mjoint . sampleData . sigma.mjoint . simData . summary.mjoint . vcov.mjoint .
Some associated R codes: RcppExports.R . S.R . baseHaz.R . bootSE.R . confint.mjoint.R . convMonitor.R . dynLong.R . dynSurv.R . epileptic.qol.R . fitted.mjoint.R . fixef.mjoint.R . formula.mjoint.R . generics.R . getVarCov.mjoint.R . heart.valve.R . hessian.R . initsLong.R . initsSurv.R . joineRML.R . logLik.mjoint.R . logpb.R . mjoint.R . mjointject.R . mvlme.R . pbc2.R . plot.dynLong.R . plot.dynSurv.R . plot.mjoint.R . plot.ranef.mjoint.R . plotConvergence.R . print.bootSE.R . print.dynLong.R . print.dynSurv.R . print.mjoint.R . print.summary.mjoint.R . process_newdata.R . ranef.mjoint.R . renal.R . residuals.mjoint.R . sampleData.R . sigma.mjoint.R . simData.R . stepEM.R . summary.mjoint.R . thetaDraw.R . tidiers.R . vcov.mjoint.R . Full joineRML package functions and examples
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