VBphenoR: Variational Bayes for Latent Patient Phenotypes in EHR

Identification of Latent Patient Phenotype from Electronic Health Records (EHR) Data using Variational Bayes Gaussian Mixture Model for Latent Class Analysis and Variational Bayes regression for Biomarker level shifts, both implemented by Coordinate Ascent Variational Inference algorithms. Variational methods are used to enable Bayesian analysis of very large Electronic Health Records data. For VB GMM details see Bishop (2006,ISBN:9780-387-31073-2). For Logistic VB see Jaakkola and Jordan (2000) <doi:10.1023/A:1008932416310>.

Version:	1.0.0
Depends:	R (≥ 3.5.0)
Imports:	stats, CholWishart, pracma, knitr, utils, dbscan, data.table, ggplot2
Suggests:	rmarkdown, testthat (≥ 3.0.0)
Published:	2025-09-15
Author:	Brian Buckley [aut, cre, cph], Adrian O'Hagan [aut] (Co-author), Marie Galligan [aut] (Co-author)
Maintainer:	Brian Buckley <brian.buckley.1 at ucdconnect.ie>
BugReports:	https://github.com/buckleybrian/VBphenoR/issues
License:	MIT + file LICENCE
URL:	https://github.com/buckleybrian/VBphenoR, https://buckleybrian.github.io/VBphenoR/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	VBphenoR results

Documentation:

Reference manual:

VBphenoR.html , VBphenoR.pdf

Downloads:

Package source:	VBphenoR_1.0.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): VBphenoR_1.0.0.tgz, r-oldrel (arm64): VBphenoR_1.0.0.tgz, r-release (x86_64): VBphenoR_1.0.0.tgz, r-oldrel (x86_64): VBphenoR_1.0.0.tgz

Linking:

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