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DGP4LCF: 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) <doi:10.48550/arXiv.2307.02781>.
Getting started
Browse package contents
Package details |
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| Author | Jiachen Cai [aut, cre] |
| Maintainer | Jiachen Cai <jiachen.cai@mrc-bsu.cam.ac.uk> |
| License | MIT + file LICENSE |
| Version | 1.0.0.1 |
| Package repository | View on CRAN |
| Installation |
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