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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "VBphenoR" in publications use:'
type: software
license: MIT
title: 'VBphenoR: Variational Bayes for Latent Patient Phenotypes in EHR'
version: 1.1.0
doi: 10.32614/CRAN.package.VBphenoR
abstract: 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) <https://doi.org/10.1023/A:1008932416310>. Please see preprint
  of JSS-submitted paper <https://doi.org/10.48550/arXiv.2512.14272>.
authors:
- family-names: Buckley
  given-names: Brian
  email: brian.buckley.1@ucdconnect.ie
  orcid: https://orcid.org/0000-0002-5478-5830
- family-names: O'Hagan
  given-names: Adrian
  email: adrian.ohagan@ucd.ie
- family-names: Galligan
  given-names: Marie
  email: marie.galligan@ucd.ie
repository: https://buckleybrian.r-universe.dev
repository-code: https://github.com/buckleybrian/VBphenoR
commit: ce1bbb599a3a3b1dd59f05af1bd4d5eab645bbb2
url: https://github.com/buckleybrian/VBphenoR
date-released: '2025-12-17'
contact:
- family-names: Buckley
  given-names: Brian
  email: brian.buckley.1@ucdconnect.ie
  orcid: https://orcid.org/0000-0002-5478-5830