INLAjoint: Multivariate Joint Modeling for Longitudinal and Time-to-Event Outcomes with 'INLA'

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).

Version: 24.2.4
Depends: R (≥ 3.6), utils, stats
Imports: numDeriv, lme4, ggplot2, methods, Matrix
Suggests: INLA, knitr, rmarkdown, splines, graphics, grDevices, R.rsp
Published: 2024-02-04
Author: Denis Rustand ORCID iD [cre, aut], Elias Teixeira Krainski ORCID iD [aut], Haavard Rue ORCID iD [aut], Janet van Niekerk ORCID iD [aut]
Maintainer: Denis Rustand <INLAjoint at>
License: GPL-3
NeedsCompilation: no
Citation: INLAjoint citation info
Materials: README
CRAN checks: INLAjoint results


Reference manual: INLAjoint.pdf
Vignettes: INLAjoint


Package source: INLAjoint_24.2.4.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): INLAjoint_24.2.4.tgz, r-oldrel (arm64): INLAjoint_24.2.4.tgz, r-release (x86_64): INLAjoint_24.2.4.tgz
Old sources: INLAjoint archive


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