A Method for Inferring Microbial Networks with FDR Control
Overview
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.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK6 OK2026-06-03
Documentation
- Help pages
- 2
- Examples that run
- 100%2 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- Help pages citing references
- 50%
Downloads
Repository
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1 development-tooling and community-health practice detected across 1 family in the upstream repository
Checks run against github.com/yijuanhu/testnet on 2026-10-18.
Dependencies
Installing TestNet adds 5 packages (4 with compiled code, 3.1 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, matrixStats 207 KB.
Code & Tests
Datasets
People & History
- 1.0Latest2026-06-02 · current release
- RR 4.6.0 released · 2026-04-24
Package metadata
- First published
- 2026-06-02
- Total releases
- 1 / 1 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.5.0
- Bundled data
- 7.9 KB / 1 file
- Download size
- 15 KB
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