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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: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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