Package: semisup 1.31.0

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]

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semisup.pdf |semisup.html✨
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NEWS

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

Peer review:

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

On BioConductor:semisup-1.31.0(bioc 3.21)semisup-1.30.0(bioc 3.20)

snpgenomicvariationsomaticmutationgeneticsclassificationclusteringdnaseqmicroarraymultiplecomparison

5.08 score 1 stars 4 scripts 216 downloads 9 exports 1 dependencies

Last updated 3 months agofrom:5bd4effbe2. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 29 2025
R-4.5-winOKJan 29 2025
R-4.5-macOKJan 29 2025
R-4.5-linuxOKJan 29 2025
R-4.4-winOKJan 29 2025
R-4.4-macOKJan 29 2025
R-4.3-winOKJan 29 2025
R-4.3-macOKJan 29 2025

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

Dependencies:VGAM

article frame

Rendered fromarticle.Rmdusingknitr::rmarkdownon Jan 29 2025.

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

vignette frame

Rendered fromvignette.Rmdusingknitr::rmarkdownon Jan 29 2025.

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

vignette source

Rendered fromsemisup.Rnwusingknitr::knitron Jan 29 2025.

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