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SOHPIE: Statistical Approach via Pseudo-Value Information and Estimation
'SOHPIE' (pronounced as SOFIE) is a novel pseudo-value regression approach for differential co-abundance network analysis of microbiome data, which can include additional clinical covariate in the model. The full methodological details can be found in Ahn S and Datta S (2023) <doi:10.48550/arXiv.2303.13702>.
| Version: |
1.0.6 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
robustbase, parallel, dplyr, fdrtool, gtools, stats |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2023-10-23 |
| Author: |
Seungjun Ahn 
[cre, aut, trl],
Somnath Datta [ctb, ths] |
| Maintainer: |
Seungjun Ahn <seungjun.ahn at mountsinai.org> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Language: |
en-US |
| CRAN checks: |
SOHPIE results |
Documentation:
Downloads:
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https://CRAN.R-project.org/package=SOHPIE
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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