Other packages > Find by keyword >

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]
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 14 Apr. 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)
Other packages that cited IFAA R package
View IFAA citation profile
Other R packages that IFAA depends, imports, suggests or enhances
Downloads during the last 30 days
03/1503/1803/1903/2203/2403/2503/2703/2804/0104/0404/0504/0704/0804/0904/12Downloads for IFAA051015202530TrendBars

Today's Hot Picks in Authors and Packages

mlim  
Single and Multiple Imputation with Automated Machine Learning
Machine learning algorithms have been used for performing single missing data imputation and most r ...
Download / Learn more Package Citations See dependency  
bcf  
Causal Inference using Bayesian Causal Forests
Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Ha ...
Download / Learn more Package Citations See dependency  
AzureKeyVault  
Key and Secret Management in 'Azure'
Manage keys, certificates, secrets, and storage accounts in Microsoft's 'Key Vault' service: ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
spatstat.utils  
Utility Functions for 'spatstat'
Contains utility functions for the 'spatstat' family of packages which may also be useful for other ...
Download / Learn more Package Citations See dependency  
networkscaleup  
Network Scale-Up Models for Aggregated Relational Data
Provides a variety of Network Scale-up Models for researchers to analyze Aggregated Relational Data, ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,993

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA