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
semisup_1.37.0.zip(r-4.7)semisup_1.37.0.zip(r-4.6)semisup_1.37.0.zip(r-4.5)
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✨
DESCRIPTION |NEWS
card.svg |card.png
semisup/json (API)

# 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 9 exports 1 dependencies

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

TargetResultTimeFilesSyslog
bioc-checksWARNING160
linux-devel-x86_64OK153
source / vignettesOK177
linux-release-x86_64OK146
macos-release-arm64OK70
macos-oldrel-arm64OK90
windows-develOK91
windows-releaseOK75
windows-oldrelOK83
wasm-releaseOK106

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

Dependencies:VGAM

article frame
Rendered fromarticle.Rmdusingknitr::rmarkdown

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

vignette frame
Rendered fromvignette.Rmdusingknitr::rmarkdown

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

vignette source
Initialisation | Scope | Model fitting | Hypothesis testing | Application
Rendered fromsemisup.Rnwusingknitr::knitr

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