Skip to content

BTIME

Bayesian Hierarchical Models for Single-Cell Protein Data

v1.0.1 · Feb 24, 2026 · MIT + file LICENSE

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.

Downloads

326

Last 30 days

11989th

773

Last 90 days

1.5K

Last year

Trend: +11.3% (30d vs prior 30d)

CRAN Check Status

14 OK
Show all 14 flavors
Flavor Status
r-devel-linux-x86_64-debian-clang OK
r-devel-linux-x86_64-debian-gcc OK
r-devel-linux-x86_64-fedora-clang OK
r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
r-devel-windows-x86_64 OK
r-oldrel-macos-arm64 OK
r-oldrel-macos-x86_64 OK
r-oldrel-windows-x86_64 OK
r-patched-linux-x86_64 OK
r-release-linux-x86_64 OK
r-release-macos-arm64 OK
r-release-macos-x86_64 OK
r-release-windows-x86_64 OK

Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Dependency Network

Dependencies Reverse dependencies rjags coda runjags VGAM matlib BTIME

Version History

new 1.0.1 Mar 10, 2026
updated 1.0.1 ← 1.0.0 diff Feb 23, 2026
new 1.0.0 Oct 6, 2025