Package: GUniFrac Type: Package Title: Generalized UniFrac Distances, Distance-Based Multivariate Methods and Feature-Based Univariate Methods for Microbiome Data Analysis Version: 1.9 Date: 2025-08-25 Authors@R: c(person(given = "Jun", family = "Chen", role = c("aut", "cre"), email = "chen.jun2@mayo.edu"), person(given = "Xianyang", family = "Zhang", role = "aut"), person(given = "Lu", family = "Yang", role = "aut"), person(given = "Lujun", family = "Zhang", role = "aut")) Description: A suite of methods for powerful and robust microbiome data analysis including data normalization, data simulation, community-level association testing and differential abundance analysis. It implements generalized UniFrac distances, Geometric Mean of Pairwise Ratios (GMPR) normalization, semiparametric data simulator, distance-based statistical methods, and feature-based statistical methods. The distance-based statistical methods include three extensions of PERMANOVA: (1) PERMANOVA using the Freedman-Lane permutation scheme, (2) PERMANOVA omnibus test using multiple matrices, and (3) analytical approach to approximating PERMANOVA p-value. Feature-based statistical methods include linear model-based methods for differential abundance analysis of zero-inflated high-dimensional compositional data. Depends: R (>= 3.5.0) Suggests: ade4, knitr, markdown, ggpubr Imports: Rcpp (>= 0.12.13), vegan, ggplot2, matrixStats, Matrix, ape, parallel, stats, utils, statmod, rmutil, dirmult, MASS, ggrepel, foreach, modeest, inline, methods LinkingTo: Rcpp NeedsCompilation: yes VignetteBuilder: knitr License: GPL-3 Encoding: UTF-8 Packaged: 2026-06-23 14:41:20 UTC; root Author: Jun Chen [aut, cre], Xianyang Zhang [aut], Lu Yang [aut], Lujun Zhang [aut] Maintainer: Jun Chen Repository: https://cran.r-universe.dev Date/Publication: 2025-08-25 21:20:02 UTC RemoteUrl: https://github.com/cran/GUniFrac RemoteRef: HEAD RemoteSha: 50f6df35750b6c052ef110a477ec7a96cf52eff8