Package: semisup
Version: 1.37.0
Title: Semi-Supervised Mixture Model
Description: 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.
biocViews: SNP, GenomicVariation, SomaticMutation, Genetics,
        Classification, Clustering, DNASeq, Microarray,
        MultipleComparison
Depends: R (>= 3.0.0)
Imports: VGAM
Suggests: knitr, testthat, SummarizedExperiment
Authors@R: person("Armin","Rauschenberger",email="armin.rauschenberger@uni.lu",role=c("aut","cre"))
VignetteBuilder: knitr
License: GPL-3
LazyData: true
RoxygenNote: 7.0.0
URL: https://github.com/rauschenberger/semisup
BugReports: https://github.com/rauschenberger/semisup/issues
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:45:32 UTC
RemoteUrl: https://github.com/bioc/semisup
RemoteRef: HEAD
RemoteSha: f0a02a44b06200a0cab89712cc64659b6676d674
NeedsCompilation: no
Packaged: 2026-07-04 14:06:27 UTC; root
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>