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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
DOI: 10.32614/CRAN.package.SOHPIE
Author: Seungjun Ahn ORCID iD [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:

Reference manual: SOHPIE.pdf
Vignettes: An Introduction to SOHPIE

Downloads:

Package source: SOHPIE_1.0.6.tar.gz
Windows binaries: r-devel: SOHPIE_1.0.6.zip, r-release: SOHPIE_1.0.6.zip, r-oldrel: SOHPIE_1.0.6.zip
macOS binaries: r-release (arm64): SOHPIE_1.0.6.tgz, r-oldrel (arm64): SOHPIE_1.0.6.tgz, r-release (x86_64): SOHPIE_1.0.6.tgz, r-oldrel (x86_64): SOHPIE_1.0.6.tgz
Old sources: SOHPIE archive

Linking:

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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.