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DGP4LCF  

Dependent Gaussian Processes for Longitudinal Correlated Factors
View on CRAN: Click here


Download and install DGP4LCF package within the R console
Install from CRAN:
install.packages("DGP4LCF")

Install from Github:
library("remotes")
install_github("cran/DGP4LCF")

Install by package version:
library("remotes")
install_version("DGP4LCF", "1.0.0.1")



Attach the package and use:
library("DGP4LCF")
Maintained by
Jiachen Cai
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-28
Latest Update: 2025-03-08
Description:
Functionalities for analyzing high-dimensional and longitudinal biomarker data to facilitate precision medicine, using a joint model of Bayesian sparse factor analysis and dependent Gaussian processes. This paper illustrates the method in detail: J Cai, RJB Goudie, C Starr, BDM Tom (2023) <doi:10.48550/arXiv.2307.02781>.
How to cite:
Jiachen Cai (2024). DGP4LCF: Dependent Gaussian Processes for Longitudinal Correlated Factors. R package version 1.0.0.1, https://cran.r-project.org/web/packages/DGP4LCF. Accessed 29 Jul. 2026.
Previous versions and publish date:
1.0.0 (2024-05-28 18:40), (2026-07-09 08:01)
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Complete documentation for DGP4LCF
Functions, R codes and Examples using the DGP4LCF R package
Full DGP4LCF package functions and examples
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