Package: BTIME
Title: Bayesian Hierarchical Models for Single-Cell Protein Data
Version: 1.0.1
Authors@R: 
        c(person(given = "Chase", family = "Sakitis", role = c("aut", "cre"),
              email =  "cjsakitis@cmh.edu"),
          person(given = "Brooke", family = "Fridley", role = "aut",
              email =  "blfridley@cmh.edu"))
Description: Bayesian Hierarchical beta-binomial models for modeling cell population to predictors/exposures.
              This package utilizes 'runjags' to run Gibbs sampling, parallelizing the chains.
              Options for different covariances/relationship structures between parameters of interest.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: coda, runjags, VGAM, matlib
Depends: rjags
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2026-02-24 19:34:02 UTC; cjsakitis
Author: Chase Sakitis [aut, cre],
  Brooke Fridley [aut]
Maintainer: Chase Sakitis <cjsakitis@cmh.edu>
Repository: CRAN
Date/Publication: 2026-02-24 22:30:08 UTC
Built: R 4.6.0; ; 2026-02-28 05:23:53 UTC; windows
