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IFAA  

Robust Inference for Absolute Abundance in Microbiome Analysis
View on CRAN: Click here


Download and install IFAA package within the R console
Install from CRAN:
install.packages("IFAA")

Install from Github:
library("remotes")
install_github("cran/IFAA")

Install by package version:
library("remotes")
install_version("IFAA", "1.1.2")



Attach the package and use:
library("IFAA")
Maintained by
Zhigang Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-04
Latest Update: 2023-04-27
Description:
This package offers a robust approach to make inference on the association of covariates with the absolute abundance AA of microbiome in an ecosystem. It can be also directly applied to relative abundance RA data to make inference on AA because the ratio of two RA is equal ratio of their AA. This algorithm can estimate and test the associations of interest while adjusting for potential confounders. High-dimensional covariates are handled with regularization. The estimates of this method have easy interpretation like a typical regression analysis. High-dimensional covariates are handled with regularization and it is implemented by parallel computing. False discovery rate is automatically controlled by this approach. Zeros do not need to be imputed by a positive value for the analysis. The IFAA package also offers the MZILN function for estimating and testing associations of abundance ratios with covariates.
How to cite:
Zhigang Li (2020). IFAA: Robust Inference for Absolute Abundance in Microbiome Analysis. R package version 1.1.2, https://cran.r-project.org/web/packages/IFAA. Accessed 02 Feb. 2025.
Previous versions and publish date:
1.0.0 (2020-11-04 16:00), 1.0.1 (2021-01-06 18:10), 1.0.2 (2021-07-20 18:00), 1.0.3 (2021-11-08 22:10), 1.0.4 (2022-01-06 04:30), 1.0.5 (2022-03-11 04:50), 1.0.6 (2022-04-13 09:42), 1.0.7 (2022-07-07 22:50), 1.0.8 (2022-08-26 23:34), 1.0.9 (2022-09-16 05:06), 1.1.0 (2022-11-02 18:04), 1.1.2 (2023-01-12 17:20)
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