Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'
Overview
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).
Install
Health
NOTEdependencies in R coder-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64
r-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc
Base packages in Suggests/Enhances imported in NAMESPACE: ‘grDevices’ ‘graphics’ ‘splines’
r-devel-windows-x86_64
Base packages in Suggests/Enhances imported in NAMESPACE: 'grDevices' 'graphics' 'splines'
- NOTE8 OK, 5 NOTENow
- NOTE11 OK, 2 NOTE2026-09-12
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK13 OK2026-06-03
- NOTE12 OK, 1 NOTE2026-06-02
Show 2 earlier changesHide 2 earlier changes
- OK12 OK2026-04-25
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 32
- Examples that run
- 0%1 only when donttest examples are enabled (R CMD check --as-cran) · 1 never run
- Exported functions with examples
- 29%
- Documented parameters
- 100%
- Return-value docs
- 86%
- Help pages citing references
- 3%
Downloads
Repository
- PRs merged (all time)
- 100%
- Median days to close, 50 most recently updated closed issues
- 6
- Median days to close, 50 most recently updated closed PRs
- 0
Stars over time
Releases over time
Issues over time
Commits over time
2 development-tooling and community-health practices detected across 2 families in the upstream repository
Checks run against github.com/denisrustand/inlajoint on 2026-10-11.
Dependencies
Installing INLAjoint adds 22 packages (9 with compiled code, 21 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, isoband 1.5 MB.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- 26.6.2Latest
- RR 4.6.0 released · 2026-04-24
- 25.11.10
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 24.3.25
- 24.2.42024-02-04 · diff ↗
- 23.10.282023-10-28
- RR 4.3.0 released · 2023-04-21
Package metadata
- First published
- 2023-10-28
- Total releases
- 5 / 3 yrs
- License
- GPL-3 OSI
- Additional repositories
- inla.r-inla-download.org
- Minimum R
- ≥ 3.6
- Bundled data
- 9.8 KB / 4 files
- Download size
- 652 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("INLAjoint")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.1093/biostatistics/kxad019.
The repository also keeps a CITATION.cff.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
From data release v2026-10-19, which the citation names so these numbers can be found later. More on citing and the projects behind them.