The package implements a simple, robust and highly scalable approach to tackle the compositional effects in differential abundance analysis. It fits linear regression models on the centered log2-ratio transformed data, identifies a bias term due to the transformation and compositional effect, and corrects the bias using the mode of the regression coefficients. It could fit mixed-effect models.
Package details |
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Author | Huijuan Zhou, Jun Chen, Xianyang Zhang, Kejun He |
Maintainer | Huijuan Zhou <huijuanzhou2019@gmail.com> |
License | GPL-2 |
Version | 0.2.0 |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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