BBMBC: Beta-Binomial Models for Vaccine-Specific Memory B Cell Frequency and Power Calculations

Provides tools to model overdispersed vaccine-specific memory B cell frequencies using Beta-Binomial generalized linear models, specifically designed for analyzing vaccine-induced cellular immune responses. Includes method-of-moments dispersion estimation, likelihood ratio testing across experimental arms, and Monte Carlo simulation frameworks to calculate statistical power and Type I error rates. The methodologies are directly motivated by the analysis of immunology data in 'Vaccination with mRNA-encoded membrane-anchored HIV envelope trimers elicited tier 2 neutralizing antibodies in a phase 1 clinical trial' (Parks et al. 2025) <doi:10.1126/scitranslmed.ady6831>.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: doParallel, foreach, glmmTMB, parallel, stats, utils
Suggests: testthat (≥ 3.0.0)
Published: 2026-10-07
DOI: 10.32614/CRAN.package.BBMBC (may not be active yet)
Author: Andrew Shin [aut, cre]
Maintainer: Andrew Shin <ashin2 at uw.edu>
License: MIT + file LICENSE
NeedsCompilation: no
CRAN checks: BBMBC results

Documentation:

Reference manual: BBMBC.html , BBMBC.pdf

Downloads:

Package source: BBMBC_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: BBMBC_0.1.0.zip
macOS binaries: r-release (arm64): BBMBC_0.1.0.tgz, r-oldrel (arm64): BBMBC_0.1.0.tgz, r-release (x86_64): BBMBC_0.1.0.tgz, r-oldrel (x86_64): BBMBC_0.1.0.tgz

Linking:

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