Package: semisup
Version: 1.34.0
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-release.r-universe.dev
Date/Publication: 2025-10-29 14:38:13 UTC
RemoteUrl: https://github.com/bioc/semisup
RemoteRef: RELEASE_3_22
RemoteSha: 0a83e29c184c6913639bafe6c0b7e0f439b9f58c
NeedsCompilation: no
Packaged: 2025-11-11 17:34:27 UTC; root
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>
Built: R 4.5.2; ; 2025-11-11 17:40:34 UTC; windows
