DESCRIPTION

Package: bayesHVG
Type: Package
Title: Identify Highly Variable Genes via Bayesian Inference
Version: 0.0.3
Authors@R: c(person(given = c("Jack", "R."), family = "Leary", email = "j.leary@ufl.edu", role = c("aut", "cre"), comment = c(ORCID = "0009-0004-8821-3269")))
Description: The bayesHVG method implements efficient highly variable gene (HVG) identification in scRNA-seq data using Bayesian hierarchical models fit via variational inference.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Depends: 
  cmdstanr, 
  magrittr, 
  R (>= 3.5.0)
Imports: 
    brms, 
    withr, 
    rlang, 
    stats, 
    tidyr, 
    dplyr, 
    Seurat, 
    parallel, 
    S4Vectors, 
    posterior, 
    tidyselect, 
    BiocGenerics, 
    sparseMatrixStats, 
    SingleCellExperiment
Suggests: 
    testthat (>= 3.0.0)
Additional_repositories: https://mc-stan.org/r-packages/
URL: https://github.com/jr-leary7/bayesHVG
BugReports: https://github.com/jr-leary7/bayesHVG/issues
VignetteBuilder: knitr
Config/testthat/edition: 3