Package: BTIME
Title: Bayesian Hierarchical Models for Single-Cell Protein Data
Version: 1.0.0
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 with parallel 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: R (>= 3.5), rjags
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
LazyData: true
NeedsCompilation: no
Packaged: 2025-09-30 21:02:27 UTC; cjsakitis
Author: Chase Sakitis [aut, cre],
  Brooke Fridley [aut]
Maintainer: Chase Sakitis <cjsakitis@cmh.edu>
Repository: CRAN
Date/Publication: 2025-10-07 18:00:12 UTC
Built: R 4.4.1; ; 2025-10-07 20:34:21 UTC; unix
