Package: VBphenoR
Title: Variational Bayes for Latent Patient Phenotypes in EHR
Version: 1.1.0
Authors@R: c(
    person("Brian", "Buckley", , "brian.buckley.1@ucdconnect.ie", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-5478-5830")),
    person("Adrian", "O'Hagan", , "adrian.ohagan@ucd.ie", role = c("aut"),
           comment = "Co-author"),
    person("Marie", "Galligan", , "marie.galligan@ucd.ie", role = c("aut"),
           comment = "Co-author")
  )
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>. Please see preprint of JSS-submitted paper <doi:10.48550/arXiv.2512.14272>.
License: MIT + file LICENCE
Encoding: UTF-8
RoxygenNote: 7.3.2
Suggests: rmarkdown, testthat (>= 3.0.0)
Imports: stats, CholWishart, pracma, knitr, utils, dbscan, data.table,
        ggplot2
Depends: R (>= 3.5.0)
LazyData: true
Config/testthat/edition: 3
URL: https://github.com/buckleybrian/VBphenoR
BugReports: https://github.com/buckleybrian/VBphenoR/issues
Config/Needs/website: rmarkdown
NeedsCompilation: no
Packaged: 2025-12-17 09:59:51 UTC; buckl
Author: Brian Buckley [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-5478-5830>),
  Adrian O'Hagan [aut] (Co-author),
  Marie Galligan [aut] (Co-author)
Maintainer: Brian Buckley <brian.buckley.1@ucdconnect.ie>
Repository: CRAN
Date/Publication: 2025-12-17 23:20:18 UTC
Built: R 4.5.2; ; 2025-12-23 03:40:41 UTC; windows
