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BTIME: Bayesian Hierarchical Models for Single-Cell Protein Data

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.

Version: 1.0.0
Depends: R (≥ 3.5), rjags
Imports: coda, runjags, VGAM, matlib
Suggests: knitr, rmarkdown
Published: 2025-10-07
DOI: 10.32614/CRAN.package.BTIME
Author: Chase Sakitis [aut, cre], Brooke Fridley [aut]
Maintainer: Chase Sakitis <cjsakitis at cmh.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: BTIME results

Documentation:

Reference manual: BTIME.html , BTIME.pdf
Vignettes: BICAM (source, R code)
BICAM: Covariance Structures (source, R code)

Downloads:

Package source: BTIME_1.0.0.tar.gz
Windows binaries: r-devel: BTIME_1.0.0.zip, r-release: not available, r-oldrel: BTIME_1.0.0.zip
macOS binaries: r-release (arm64): BTIME_1.0.0.tgz, r-oldrel (arm64): BTIME_1.0.0.tgz, r-release (x86_64): BTIME_1.0.0.tgz, r-oldrel (x86_64): BTIME_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=BTIME to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.