GUniFrac
Generalized UniFrac Distances, Distance-Based Multivariate Methods and Feature-Based Univariate Methods for Microbiome Data Analysis
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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.9 |
rolling source/ R- | GUniFrac_1.9.tar.gz |
821.3 KiB |
1.9 |
rolling linux/jammy R-4.5 | GUniFrac_1.9.tar.gz |
1014.0 KiB |
1.9 |
rolling linux/noble R-4.5 | GUniFrac_1.9.tar.gz |
1015.5 KiB |
1.9 |
latest source/ R- | GUniFrac_1.9.tar.gz |
821.3 KiB |
1.9 |
latest linux/jammy R-4.5 | GUniFrac_1.9.tar.gz |
1014.0 KiB |
1.9 |
latest linux/noble R-4.5 | GUniFrac_1.9.tar.gz |
1015.5 KiB |
1.9 |
2026-04-23 source/ R- | GUniFrac_1.9.tar.gz |
821.3 KiB |
1.9 |
2026-04-09 windows/windows R-4.5 | GUniFrac_1.9.zip |
1.3 MiB |
1.8 |
2025-04-20 source/ R- | GUniFrac_1.8.tar.gz |
851.7 KiB |