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joineR  

Joint Modelling of Repeated Measurements and Time-to-Event Data
View on CRAN: Click here


Download and install joineR package within the R console
Install from CRAN:
install.packages("joineR")

Install from Github:
library("remotes")
install_github("cran/joineR")

Install by package version:
library("remotes")
install_version("joineR", "1.2.8")



Attach the package and use:
library("joineR")
Maintained by
Graeme L. Hickey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-03-30
Latest Update: 2023-01-22
Description:
Analysis of repeated measurements and time-to-event data via random effects joint models. Fits the joint models proposed by Henderson and colleagues (single event time) and by Williamson and colleagues (2008) (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 am 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).
How to cite:
Graeme L. Hickey (2012). joineR: Joint Modelling of Repeated Measurements and Time-to-Event Data. R package version 1.2.8, https://cran.r-project.org/web/packages/joineR. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0-1 (2012-03-30 12:56), 1.0-2 (2012-06-05 15:25), 1.0-3 (2012-10-26 18:50), 1.1.0 (2017-02-02 08:24), 1.2.0 (2017-05-19 23:13), 1.2.1 (2017-07-24 23:24), 1.2.2 (2017-09-14 18:17), 1.2.3 (2018-02-06 13:39), 1.2.4 (2018-05-18 00:17), 1.2.5 (2020-02-08 18:50), 1.2.6 (2021-06-01 15:10), 1.2.7 (2023-01-18 12:50)
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