Package: GLSUP 1.0.1

GLSUP: Generalised Linear Step-Up Procedure for Multiple Hypothesis Testing

Performs the Generalised Linear Step-up Procedure (GLSUP) with a flexible user-defined sizing function. Functions are also available for creating common sizing functions.

Authors:Toby Kenney [aut, cre]

GLSUP_1.0.1.tar.gz
GLSUP_1.0.1.zip(r-4.7-any)GLSUP_1.0.1.zip(r-4.6-any)GLSUP_1.0.1.zip(r-4.5-any)
GLSUP_1.0.1.tgz(r-4.6-any)GLSUP_1.0.1.tgz(r-4.5-any)
GLSUP_1.0.1.tar.gz(r-4.7-any)GLSUP_1.0.1.tar.gz(r-4.6-any)
GLSUP_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
GLSUP/json (API)

# Install 'GLSUP' in R:
install.packages('GLSUP', repos = c('https://tjk23.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

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

1.30 score 229 downloads 7 exports 0 dependencies

Last updated from:d9f463078a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK97
source / vignettesOK123
linux-releaseOK98
macos-releaseOK87
macos-oldrelOK93
windows-develOK73
windows-releaseOK56
windows-oldrelOK77
wasm-releaseOK85

Exports:GLSUPminimal.weights.forestminimal.weights.posetplot.GLSUPprint.GLSUPsizing.BHsizing.wBH

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Generalised Linear Step-Up Procedure (GLSUP)GLSUP plot.GLSUP print.GLSUP
Cumulative sum-of-minimal-weights sizing functionminimal.weights.forest minimal.weights.poset sizing.BH sizing.wBH