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) .


Reference manual

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install.packages("BBMBC")

0.1.0 by Andrew Shin, 4 hours ago


Browse source code at https://github.com/cran/BBMBC


Authors: Andrew Shin [aut, cre]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports doParallel, foreach, glmmTMB, parallel, stats, utils

Suggests testthat


See at CRAN