Package: INTRIGUE 0.1.0

INTRIGUE: Quantify and Control Reproducibility in High-Throughput Experiments

Estimate the proportions of the null and the reproducibility and non-reproducibility of the signal group for the input data set. The Bayes factor calculation and EM (Expectation Maximization) algorithm procedures are also included.

Authors:Yi Zhao [aut], Xiaoquan Wen [aut], Michael Kleinsasser [cre]

INTRIGUE_0.1.0.tar.gz
INTRIGUE_0.1.0.zip(r-4.7)INTRIGUE_0.1.0.zip(r-4.6)INTRIGUE_0.1.0.zip(r-4.5)
INTRIGUE_0.1.0.tgz(r-4.6-any)INTRIGUE_0.1.0.tgz(r-4.5-any)
INTRIGUE_0.1.0.tar.gz(r-4.7-any)INTRIGUE_0.1.0.tar.gz(r-4.6-any)
INTRIGUE_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
INTRIGUE/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.48 score 2 scripts 139 downloads 6 mentions 2 exports 21 dependencies

Last updated from:6227a8aed5. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE205
source / vignettesOK148
linux-release-x86_64NOTE112
macos-release-arm64NOTE83
macos-oldrel-arm64NOTE75
windows-develNOTE66
windows-releaseNOTE63
windows-oldrelNOTE68
wasm-releaseOK137

Exports:bf.cal.metahetero

Dependencies:clidata.tabledplyrgenericsgluejsonlitelifecyclemagrittrpillarpkgconfigR6rlangrlistSQUAREMtibbletidyselectutf8vctrswithrXMLyaml