Power and Sample Size Calculation for Differential Abundance Microbiome Studies R package power.nb version 0.1.0 Provides functions for estimating statistical power and required sample sizes in differential abundance microbiome studies using negative binomial models. The methods are based on Agronah and Bolker (2025) <doi:10.1371/journal.pone.0318820>. The package includes tools for simulation-based power analysis and sample size estimation using generalized additive models (GAMs), and visualization utilities for exploring the relationship between power, effect size, abundance, and sample size. Software Depends: R (>= 4.1.0) Imports: DESeq2, fitdistrplus, rlang, minpack.lm,foreach,tibble, purrr, mixtools, scam, ggplot2, ggrastr, metR, DEoptim, latex2exp, parallel,stats,doParallel Suggests: rmarkdown, knitr, kableExtra, tidyverse, patchwork, dplyr, rlist Michael Agronah <michaelagronah@gmail.com> Comprehensive R Archive Network (CRAN) Michael Agronah [aut, cre] (ORCID: <https://orcid.org/0009-0007-2655-4094>), Ben Bolker [aut] (ORCID: <https://orcid.org/0000-0002-2127-0443>) MIT + file LICENSE (https://CRAN.R-project.org/package=power.nb/LICENSE) 2026-06-15 application/tgz https://CRAN.R-project.org/package=power.nb doi:10.32614/CRAN.package.power.nb