Package: semisup 1.29.0

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-1.29.0(bioc 3.20)semisup-1.28.0(bioc 3.19)

    bioconductor-package

    9 exports 0.82 score 1 dependencies

    Last updated 2 months agofrom:2856f5cc37

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

    Dependencies:VGAM

    article frame

    Rendered fromarticle.Rmdusingknitr::rmarkdownon Jun 27 2024.

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

    vignette frame

    Rendered fromvignette.Rmdusingknitr::rmarkdownon Jun 27 2024.

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

    vignette source

    Rendered fromsemisup.Rnwusingknitr::knitron Jun 27 2024.

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