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VBphenoR  

Variational Bayes for Latent Patient Phenotypes in EHR
View on CRAN: Click here


Download and install VBphenoR package within the R console
Install from CRAN:
install.packages("VBphenoR")

Install from Github:
library("remotes")
install_github("cran/VBphenoR")

Install by package version:
library("remotes")
install_version("VBphenoR", "1.1.0")



Attach the package and use:
library("VBphenoR")
Maintained by
Brian Buckley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-15
Latest Update: 2025-09-15
Description:
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>.
How to cite:
Brian Buckley (2025). VBphenoR: Variational Bayes for Latent Patient Phenotypes in EHR. R package version 1.1.0, https://cran.r-project.org/web/packages/VBphenoR. Accessed 22 Jul. 2026.
Previous versions and publish date:
(2026-07-09 08:28), 1.0.0 (2025-09-15 09:40)
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View VBphenoR citation profile
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Complete documentation for VBphenoR
Functions, R codes and Examples using the VBphenoR R package
Full VBphenoR package functions and examples
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