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JMbayes2  

Extended Joint Models for Longitudinal and Time-to-Event Data
View on CRAN: Click here


Download and install JMbayes2 package within the R console
Install from CRAN:
install.packages("JMbayes2")

Install from Github:
library("remotes")
install_github("cran/JMbayes2")

Install by package version:
library("remotes")
install_version("JMbayes2", "0.5-0")



Attach the package and use:
library("JMbayes2")
Maintained by
Dimitris Rizopoulos
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-01-11
Latest Update: 2023-06-26
Description:
Fit joint models for longitudinal and time-to-event data under the Bayesian approach. Multiple longitudinal outcomes of mixed type (continuous/categorical) and multiple event times (competing risks and multi-state processes) are accommodated. Rizopoulos (2012, ISBN:9781439872864).
How to cite:
Dimitris Rizopoulos (2021). JMbayes2: Extended Joint Models for Longitudinal and Time-to-Event Data. R package version 0.5-0, https://cran.r-project.org/web/packages/JMbayes2. Accessed 30 Jan. 2025.
Previous versions and publish date:
0.1-1 (2021-01-11 10:30), 0.1-2 (2021-01-13 13:50), 0.1-3 (2021-01-18 17:20), 0.1-5 (2021-03-08 21:00), 0.1-6 (2021-05-12 22:22), 0.1-7 (2021-07-07 12:50), 0.1-8 (2021-09-02 15:00), 0.2-0 (2022-02-10 11:00), 0.2-8 (2022-07-05 12:10), 0.3-0 (2022-09-09 09:13), 0.4-0 (2023-03-13 10:30), 0.4-5 (2023-06-26 15:30)
Other packages that cited JMbayes2 R package
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Other R packages that JMbayes2 depends, imports, suggests or enhances
Complete documentation for JMbayes2
Functions, R codes and Examples using the JMbayes2 R package
Some associated functions: JMbayes2 . accuracy . aids . coda_methods . cr_setup . jm . methods . pbc . predict . prothro . rc_setup . 
Some associated R codes: RcppExports.R . accuracy_measures.R . basic_methods.R . create_Wlong_mats.R . help_functions.R . jm.R . jm_fit.R . predict_funs.R .  Full JMbayes2 package functions and examples
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