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

Datasets:

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

    snpgenomicvariationsomaticmutationgeneticsclassificationclusteringdnaseqmicroarraymultiplecomparison

    5.08 score 1 stars 4 scripts 186 downloads 9 exports 1 dependencies

    Last updated 2 months agofrom:5bd4effbe2. Checks:OK: 7. Indexed: yes.

    TargetResultDate
    Doc / VignettesOKNov 30 2024
    R-4.5-winOKNov 30 2024
    R-4.5-linuxOKNov 30 2024
    R-4.4-winOKNov 30 2024
    R-4.4-macOKNov 30 2024
    R-4.3-winOKNov 30 2024
    R-4.3-macOKNov 30 2024

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

    Dependencies:VGAM

    article frame

    Rendered fromarticle.Rmdusingknitr::rmarkdownon Nov 30 2024.

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

    vignette frame

    Rendered fromvignette.Rmdusingknitr::rmarkdownon Nov 30 2024.

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

    vignette source

    Rendered fromsemisup.Rnwusingknitr::knitron Nov 30 2024.

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