Package: semisup 1.37.0

Armin Rauschenberger

semisup: Semi-Supervised Mixture Model

Implements a parametric semi-supervised mixture model. The permutation test detects markers with main or interactive effects, without distinguishing them. Possible applications include genome-wide association analysis and differential expression analysis.

Authors:Armin Rauschenberger [aut, cre]

semisup_1.37.0.tar.gz
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semisup_1.37.0.tgz(r-4.6-any)semisup_1.37.0.tgz(r-4.5-any)
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semisup_1.37.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
semisup/json (API)
NEWS

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

Bug tracker:https://github.com/rauschenberger/semisup/issues

On BioConductor:semisup-1.37.0(bioc 3.24)semisup-1.36.0(bioc 3.23)

snpgenomicvariationsomaticmutationgeneticsclassificationclusteringdnaseqmicroarraymultiplecomparison

5.08 score 1 stars 4 scripts 358 downloads 9 exports 1 dependencies

Last updated from:f0a02a44b0. Checks:1 WARNING, 9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
bioc-checksWARNING145
linux-devel-x86_64OK146
source / vignettesOK166
linux-release-x86_64OK134
macos-release-arm64OK108
macos-oldrel-arm64OK86
windows-develOK71
windows-releaseOK75
windows-oldrelOK75
wasm-releaseOK95

Exports:estim.nbinomestim.zinbfit.nbinomfit.normfit.wrapfit.zinbmixturaresam.lrtsscrutor

Dependencies:VGAM

article frame

Rendered fromarticle.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2019-01-29
Started: 2017-04-07

vignette frame

Rendered fromvignette.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2019-01-29
Started: 2017-04-07

vignette source

Rendered fromsemisup.Rnwusingknitr::knitron May 30 2026.

Last update: 2019-01-29
Started: 2017-04-07