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JointModel  

Semiparametric Joint Models for Longitudinal and Counting Processes
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("JointModel", "1.0")



Attach the package and use:
library("JointModel")
Maintained by
Sehee Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-06-09
Latest Update: 2023-08-18
Description:
Joint fit of a semiparametric regression model for longitudinal responses and a semiparametric transformation model for time-to-event data.
How to cite:
Sehee Kim (2016). JointModel: Semiparametric Joint Models for Longitudinal and Counting Processes. R package version 1.0, https://cran.r-project.org/web/packages/JointModel. Accessed 05 Jan. 2025.
Previous versions and publish date:
1.0 (2016-06-09 05:49)
Other packages that cited JointModel R package
View JointModel citation profile
Other R packages that JointModel depends, imports, suggests or enhances
Functions, R codes and Examples using the JointModel R package
Some associated functions: dropout . jplm . pred.jplm.cumhaz . pred.jplm.nonlinear . prostate . 
Some associated R codes: GetLogLik.R . basis.R . covest.R . em.R . jplm.R . pred.jplm.cumhaz.R . pred.jplm.nonlinear.R . summary.jplm.R .  Full JointModel package functions and examples
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