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.
- Version1.8
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/14/2023
Documentation
Team
Jun Chen
Xianyang Zhang
Lu Yang
Lujun Zhang
Insights
Last 30 days
This package has been downloaded 1,483 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 47 times.
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Last 365 days
This package has been downloaded 19,797 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was May 15, 2024 with 174 downloads.
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Data provided by CRAN
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Dependencies
- Imports14 packages
- Suggests4 packages
- Linking To1 package
- Reverse Imports5 packages
- Reverse Suggests1 package