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INLAjoint

Joint modeling multivariate longitudinal and time-to-event outcomes with INLA

https://github.com/denisrustand/inlajoint

Science Score: 67.0%

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Repository

Joint modeling multivariate longitudinal and time-to-event outcomes with INLA

Basic Info
  • Host: GitHub
  • Owner: DenisRustand
  • Language: R
  • Default Branch: main
  • Size: 9.89 MB
Statistics
  • Stars: 21
  • Watchers: 3
  • Forks: 3
  • Open Issues: 0
  • Releases: 77
Created about 4 years ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

INLAjoint

Joint modeling multivariate longitudinal and time-to-event outcomes with INLA

INLAjoint is a package that fits joint models for multivariate longitudinal markers (with various distributions available) and survival outcomes (possibly accounting for competing risks and multi-state) 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 INLA package for joint modeling. More details are given in the help page of the joint function (accessible via ?joint in the R console), the vignette associated to the joint() function (accessible via vignette("INLAjoint") in the R console).

Install

install.packages("R.rsp") # (only for the vignette)

devtools::installgithub('DenisRustand/INLAjoint', buildvignettes = TRUE)

Note that INLA is required, you can install it with: install.packages("INLA",repos=c(getOption("repos"),INLA="https://inla.r-inla-download.org/R/testing"), dep=TRUE)

More details at https://www.r-inla.org/download-install

Contact: INLAjoint@gmail.com

References:

  • Rustand, D., van Niekerk, J., Krainski, E. T., & Rue, H. (2024). Joint Modeling of Multivariate Longitudinal and Survival Outcomes with the R package INLAjoint. arXiv preprint arXiv:2402.08335. https://arxiv.org/abs/2402.08335

  • Rustand, D., van Niekerk, J., Krainski, E. T., Rue, H., & Proust-Lima, C. (2024). Fast and flexible inference for joint models of multivariate longitudinal and survival data using integrated nested Laplace approximations. Biostatistics, kxad019. https://doi.org/10.1093/biostatistics/kxad019

  • Alvares, D., Van Niekerk, J., Krainski, E.T., Rue, H. and Rustand, D., 2024. Bayesian survival analysis with INLA. Statistics in medicine, 43(20), pp.3975-4010. https://doi.org/10.1002/sim.10160

Owner

  • Login: DenisRustand
  • Kind: user
  • Company: KAUST

Citation (CITATION.cff) 

cff-version: 1.2.0
message: "If you use this software, please cite it as below."
authors:
- family-names: "Rustand"
  given-names: "Denis"
  orcid: "https://orcid.org/0000-0001-9708-5220"
- family-names: "Teixeira Krainski"
  given-names: "Elias"
  orcid: "https://orcid.org/0000-0002-7063-2615"
- family-names: "Rue"
  given-names: "Haavard"
  orcid: "https://orcid.org/0000-0002-0222-1881"
- family-names: "van Niekerk"
  given-names: "Janet"
  orcid: "https://orcid.org/0000-0002-4334-2057"
title: "INLAjoint: Multivariate joint modeling for longitudinal and time-to-event outcomes with INLA"
#date-released: 2022-04-01
url: "https://github.com/DenisRustand/INLAjoint"

GitHub Events

Total
  • Create event: 23
  • Commit comment event: 2
  • Release event: 22
  • Issues event: 16
  • Watch event: 4
  • Delete event: 1
  • Issue comment event: 38
  • Push event: 20
  • Fork event: 2
Last Year
  • Create event: 23
  • Commit comment event: 2
  • Release event: 22
  • Issues event: 16
  • Watch event: 4
  • Delete event: 1
  • Issue comment event: 38
  • Push event: 20
  • Fork event: 2

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 8
  • Total pull requests: 1
  • Average time to close issues: 8 days
  • Average time to close pull requests: about 1 month
  • Total issue authors: 4
  • Total pull request authors: 1
  • Average comments per issue: 5.5
  • Average comments per pull request: 3.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 8
  • Pull requests: 1
  • Average time to close issues: 8 days
  • Average time to close pull requests: about 1 month
  • Issue authors: 4
  • Pull request authors: 1
  • Average comments per issue: 5.5
  • Average comments per pull request: 3.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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Top Authors
Issue Authors
  • HaibinLi0817 (5)
  • ElsaVazquez29 (3)
  • bbb801 (3)
  • NewUser36 (1)
  • hpcowley (1)
  • moritzmadern (1)
  • trinhdhk (1)
Pull Request Authors
  • moritzmadern (1)
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 238 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: INLAjoint

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

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 238 Last month
Rankings
Stargazers count: 15.9%
Forks count: 28.0%
Dependent packages count: 29.0%
Dependent repos count: 37.0%
Average: 39.3%
Downloads: 86.8%
Maintainers (1)
INLAjoint@gmail.com
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • INLA * depends
  • ggplot2 * depends
  • lme4 * depends
  • numDeriv * depends
  • splines * depends
  • grDevices * imports
  • graphics * imports
  • methods * imports
  • stats * imports
  • utils * imports
  • R.rsp * suggests
  • knitr * suggests
  • rmarkdown * suggests