R Observatory: Metrics for BBMBC version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BBMBC

0.1.0Package record

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

0packages depend

150downloads / year

95.8%test coverage

13/13flavors OK

Overview

About

Maintained by Andrew ShinCRAN page ↗

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.

Install

R (CRAN)Fedora (COPR)openSUSE (OBS)

install.packages("BBMBC", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BBMBC

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BBMBC

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 2.9 min · r-release-macos-x86_64

Status changes

OK13 OKNow
OK3 OK2026-10-07

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5 (1 internal)includes a package overview page
Examples that run: 50%2 run in a plain check · 2 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 93%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

150

CRAN downloads in the past year

Rank #25,455 · ~0/day · ~13/mo

Releases R versions

Daily download trend is not available in this view yet.

15030 days

15090 days

1501 year

Compare downloads with other packages →

Also on5 autocran

How downloads are counted

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Installing BBMBC adds 60 packages (33 with compiled code, 60 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, glmmTMB 5.2 MB.

Depends (1)

R >= 4.1.0

Imports (6)

doParallel foreach glmmTMBparallelstatsutils

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Andrew Shin

Author, Maintainer since 0.1.0 (2026)

Releases (1)

0.1.0Latest
record
2026-10-07 · current release ·
3 days in CRAN's queue
Listed in CRAN's incoming queue from 2026-10-03 21:57 to 2026-10-07 06:45 UTC, in 16 readings.
R
R 4.6.0 released · 2026-04-24

Across CRAN, the median accepted release of the past year spent 19 hours in the queue, 90% under 11 days.How queue time is measured

Package metadata

First published: 2026-10-07
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Download size: 8.9 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BBMBC")

Format

Shin, A. (2026). BBMBC: Beta-Binomial Models for Vaccine-Specific Memory B Cell Frequency and Power Calculations (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.BBMBC

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BBMBC version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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