Package: DGP4LCF
Type: Package
Title: Dependent Gaussian Processes for Longitudinal Correlated Factors
Version: 1.0.0.1
Maintainer: Jiachen Cai <jiachen.cai@mrc-bsu.cam.ac.uk>
Authors@R: person("Jiachen", "Cai", email = "jiachen.cai@mrc-bsu.cam.ac.uk", role = c("aut", "cre"))
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>.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
Imports: GPFDA, Rcpp, factor.switching, mvtnorm, combinat, coda,
        corrplot, pheatmap, stats
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
Config/testthat/edition: 3
Depends: R (>= 2.10)
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2025-03-08 07:11:11 UTC; hornik
Author: Jiachen Cai [aut, cre]
Repository: CRAN
Date/Publication: 2025-03-08 08:58:39 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2025-12-17 05:27:54 UTC; windows
Archs: x64
