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 (even if AA data is not available) 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'. 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.
| Version: | 1.0.5 |
| Depends: | R (≥ 3.6.0) |
| Imports: | qlcMatrix (≥ 0.9.7), methods (≥ 3.3.0), mathjaxr (≥ 1.0-1), expm (≥ 0.999-3), foreach (≥ 1.4.3), rlecuyer (≥ 0.3-3), Matrix (≥ 1.4-0), HDCI (≥ 1.0-2), parallel (≥ 3.3.0), doParallel (≥ 1.0.11), future (≥ 1.12.0), glmnet, stats |
| Suggests: | knitr, rmarkdown |
| Published: | 2022-03-11 |
| Author: | Quran Wu [aut], Zhigang Li [aut, cre] |
| Maintainer: | Zhigang Li <zhigang.li at ufl.edu> |
| License: | GNU General Public License version 2 |
| URL: | https://github.com/gitlzg/IFAA, https://arxiv.org/abs/1909.10101v3, https://link.springer.com/article/10.1007/s12561-018-9219-2 |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | IFAA results |
| Reference manual: | IFAA.pdf |
| Vignettes: |
IFAA |
| Package source: | IFAA_1.0.5.tar.gz |
| Windows binaries: | r-devel: IFAA_1.0.5.zip, r-release: IFAA_1.0.5.zip, r-oldrel: IFAA_1.0.5.zip |
| macOS binaries: | r-release (arm64): IFAA_1.0.5.tgz, r-release (x86_64): IFAA_1.0.5.tgz, r-oldrel: IFAA_1.0.5.tgz |
| Old sources: | IFAA archive |
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