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JLPM  

Joint Latent Process Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("JLPM", "1.0.2")



Attach the package and use:
library("JLPM")
Maintained by
Viviane Philipps
[Scholar Profile | Author Map]
First Published: 2022-03-31
Latest Update: 2022-03-31
Description:
Estimation of extended joint models with shared random effects. Longitudinal data are handled in latent process models for continuous (Gaussian or curvilinear) and ordinal outcomes while proportional hazard models are used for the survival part. We propose a frequentist approach using maximum likelihood estimation. See Saulnier et al, 2022 .
How to cite:
Viviane Philipps (2022). JLPM: Joint Latent Process Models. R package version 1.0.2, https://cran.r-project.org/web/packages/JLPM. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.1 (2022-03-31 09:20)
Other packages that cited JLPM R package
View JLPM citation profile
Other R packages that JLPM depends, imports, suggests or enhances
Complete documentation for JLPM
Functions, R codes and Examples using the JLPM R package
Some associated functions: JLPM-package . jointLPM . print.jointLPM . summary.jointLPM . 
Some associated R codes: JLPM-package.R . jointLPM.R . print.jointLPM.R . summary.jointLPM.R .  Full JLPM package functions and examples
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