Package: DGP4LCF
Type: Package
Title: Dependent Gaussian Processes for Longitudinal Correlated Factors
Version: 1.0.0
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: 2024-05-28 12:41:28 UTC; jc2312
Author: Jiachen Cai [aut, cre]
Repository: CRAN
Date/Publication: 2024-05-28 16:40:05 UTC
Built: R 4.4.0; aarch64-apple-darwin20; 2024-05-28 20:03:48 UTC; unix
Archs: DGP4LCF.so.dSYM
