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INLAjoint  

Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("INLAjoint", "24.3.25")



Attach the package and use:
library("INLAjoint")
Maintained by
Denis Rustand
[Scholar Profile | Author Map]
First Published: 2023-10-28
Latest Update: 2024-02-04
Description:
Estimation of joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks) with Integrated Nested Laplace Approximations (INLA). The flexible and user friendly function joint() facilitates the use of the fast and reliable inference technique implemented in the 'INLA' package for joint modeling. More details are given in the help page of the joint() function (accessible via ?joint in the R console) and the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).
How to cite:
Denis Rustand (2023). INLAjoint: Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'. R package version 24.3.25, https://cran.r-project.org/web/packages/INLAjoint. Accessed 20 Feb. 2025.
Previous versions and publish date:
23.10.28 (2023-10-28 17:10), 24.2.4 (2024-02-04 12:30)
Other packages that cited INLAjoint R package
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Other R packages that INLAjoint depends, imports, suggests or enhances
Complete documentation for INLAjoint
Functions, R codes and Examples using the INLAjoint R package
Full INLAjoint package functions and examples
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