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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "TestNet" in publications use:'
type: software
title: 'TestNet: A method for inferring microbial networks with false discovery rate
  control for clustered and unclustered samples'
version: '1.0'
doi: 10.32614/CRAN.package.TestNet
abstract: TestNet is 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. TestNet accounts for the features of compositionality,
  sparsity, and overdispersion in 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 pre-specify the
  type of relationship for each pair of taxa.
authors:
- family-names: Hu
  given-names: Yi-Juan
  email: yijuan.hu@emory.edu
repository: https://yijuanhu.r-universe.dev
repository-code: https://github.com/yijuanhu/TestNet
commit: 7623747e14e72d9abda01a99aaa8e073fecd169f
url: https://github.com/yijuanhu/TestNet
date-released: '2026-04-28'
contact:
- family-names: Hu
  given-names: Yi-Juan
  email: yijuan.hu@emory.edu