Package: BBMBC
Title: Beta-Binomial Models for Vaccine-Specific Memory B Cell
        Frequency and Power Calculations
Version: 0.1.0
Authors@R: 
    person("Andrew", "Shin", , "ashin2@uw.edu", role = c("aut", "cre"))
Description: 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>.
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: doParallel, foreach, glmmTMB, parallel, stats, utils
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Config/roxygen2/version: 8.0.0
License: MIT + file LICENSE
NeedsCompilation: no
Packaged: 2026-10-08 11:45:25 UTC; root
Author: Andrew Shin [aut, cre]
Maintainer: Andrew Shin <ashin2@uw.edu>
Config/pak/sysreqs: cmake make libicu-dev
Repository: https://ashin2117.r-universe.dev
Date/Publication: 2026-10-07 08:10:20 UTC
RemoteUrl: https://github.com/cran/BBMBC
RemoteRef: HEAD
RemoteSha: b04233200919bc185c76b89d3af9d4f0876a1004