Package: semisup
Version: 1.14.0
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
git_url: https://git.bioconductor.org/packages/semisup
git_branch: RELEASE_3_12
git_last_commit: d008211
git_last_commit_date: 2020-10-27
Date/Publication: 2020-10-27
NeedsCompilation: no
Packaged: 2020-10-28 04:15:44 UTC; biocbuild
Author: Armin Rauschenberger [aut, cre]
Maintainer: Armin Rauschenberger <armin.rauschenberger@uni.lu>
Built: R 4.0.3; ; 2020-10-28 15:16:32 UTC; windows
