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>.
Version: 1.0.0.1 Depends: R (≥ 2.10) Imports: GPFDA, Rcpp, factor.switching, mvtnorm, combinat, coda, corrplot, pheatmap, stats LinkingTo: Rcpp, RcppArmadillo Suggests: knitr, rmarkdown, testthat (≥ 3.0.0) Published: 2025-03-08 DOI: 10.32614/CRAN.package.DGP4LCF Author: Jiachen Cai [aut, cre] Maintainer: Jiachen Cai <jiachen.cai at mrc-bsu.cam.ac.uk> License: MIT + file LICENSE NeedsCompilation: yes CRAN checks: DGP4LCF results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=DGP4LCF to link to this page.
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