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TestNet: A Method for Inferring Microbial Networks with FDR Control

A testing method for inferring microbial networks. It differs from existing microbial network analyses in that it provides calibrated results by controlling the false discovery rate. The method accounts for the complex features of taxa count data. It also accommodates both independent and clustered samples, offers separate linear and nonlinear tests for each pair of taxa, and includes an omnibus test that bypasses the need to specify the type of relationship for each pair of taxa.

Version: 1.0
Depends: R (≥ 3.5.0)
Imports: permute, matrixStats, dcov, stats, utils
Suggests: R.rsp, testthat
Published: 2026-06-02
DOI: 10.32614/CRAN.package.TestNet
Author: Yi-Juan Hu [aut, cre]
Maintainer: Yi-Juan Hu <yijuanhu at bicmr.pku.edu.cn>
BugReports: https://github.com/yijuanhu/TestNet/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/yijuanhu/TestNet
NeedsCompilation: no
Materials: README
CRAN checks: TestNet results

Documentation:

Reference manual: TestNet.html , TestNet.pdf

Downloads:

Package source: TestNet_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: TestNet_1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): TestNet_1.0.tgz, r-oldrel (arm64): TestNet_1.0.tgz, r-release (x86_64): TestNet_1.0.tgz, r-oldrel (x86_64): TestNet_1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=TestNet to link to this page.

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.