Package: TestNet 1.0

TestNet: A method for inferring microbial networks with false discovery rate control for clustered and unclustered samples

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:Yi-Juan Hu [aut, cre]

TestNet_1.0.tar.gz
TestNet_1.0.zip(r-4.7-any)TestNet_1.0.zip(r-4.6-any)TestNet_1.0.zip(r-4.5-any)
TestNet_1.0.tgz(r-4.6-any)TestNet_1.0.tgz(r-4.5-any)
TestNet_1.0.tar.gz(r-4.7-any)TestNet_1.0.tar.gz(r-4.6-any)
TestNet_1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
TestNet/json (API)

# Install 'TestNet' in R:
install.packages('TestNet', repos = c('https://yijuanhu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/yijuanhu/testnet/issues

Datasets:
  • sim.otu.tab - OTU count table of the simulated microbiome samples

On CRAN:

Conda:

3.00 score 1 stars 3 scripts 330 downloads 1 exports 5 dependencies

Last updated from:7623747e14. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE191
source / vignettesOK223
linux-releaseNOTE186
macos-releaseNOTE134
macos-oldrelNOTE185
windows-develNOTE142
windows-releaseNOTE143
windows-oldrelNOTE114
wasm-releaseOK99

Exports:TestNet

Dependencies:dcovmatrixStatspermuteRcppRcppArmadillo