<?xml version="1.0" encoding="utf-8" ?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:r="https://r-universe.dev"><channel><title>ashin2117.r-universe.dev</title><link>https://ashin2117.r-universe.dev</link><description>Recent package updates in ashin2117</description><generator>R-universe</generator><image><url>https://github.com/ashin2117.png</url><title>R packages by ashin2117</title><link>https://ashin2117.r-universe.dev</link></image><lastBuildDate>Wed, 07 Oct 2026 08:10:20 GMT</lastBuildDate><item><title>[ashin2117] BBMBC 0.1.0</title><author>ashin2@uw.edu (Andrew Shin)</author><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) &lt;doi:10.1126/scitranslmed.ady6831&gt;.</description><link>https://github.com/r-universe/ashin2117/actions/runs/37771823271</link><pubDate>Wed, 07 Oct 2026 08:10:20 GMT</pubDate><r:package>BBMBC</r:package><r:version>0.1.0</r:version><r:status>success</r:status><r:repository>https://ashin2117.r-universe.dev</r:repository><r:upstream>https://github.com/cran/BBMBC</r:upstream></item></channel></rss>