Dependent Gaussian Processes for Longitudinal Correlated Factors

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) .


Reference manual

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install.packages("DGP4LCF")

1.0.0.1 by Jiachen Cai, 2 years ago


Browse source code at https://github.com/cran/DGP4LCF


Authors: Jiachen Cai [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports GPFDA, Rcpp, factor.switching, mvtnorm, combinat, coda, corrplot, pheatmap, stats

Suggests knitr, rmarkdown, testthat

Linking to Rcpp, RcppArmadillo


See at CRAN