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)TestNet_1.0.zip(r-4.6)TestNet_1.0.zip(r-4.5)
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
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 1 exports 5 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE206
source / vignettesOK143
linux-release-x86_64NOTE185
macos-release-arm64NOTE160
macos-oldrel-arm64NOTE136
windows-develNOTE151
windows-releaseNOTE138
windows-oldrelNOTE148
wasm-releaseOK125

Exports:TestNet

Dependencies:dcovmatrixStatspermuteRcppRcppArmadillo