Package: tweeDEseq
Type: Package
Title: RNA-seq data analysis using the Poisson-Tweedie family of
        distributions
Authors@R: 
    c(person("Dolors", "Pelegri-Siso", ,"dolors.pelegri@isglobal.org",
    role = c("aut", "cre"),comment = c(ORCID = "0000-0002-5993-3003")),
      person("Juan R.", "Gonzalez", ,"juanr.gonzalez@isglobal.org",
      role = "aut", comment = c(ORCID = "0000-0003-3267-2146")),
      person("Mikel", "Esnaola", ,"mesnaola@creal.cat", role = "aut"),
      person("Robert", "Castelo", ,"robert.castelo@upf.edu", role = "aut"))
Description: Differential expression analysis of RNA-seq using the
        Poisson-Tweedie (PT) family of distributions. PT distributions
        are described by a mean, a dispersion and a shape parameter and
        include Poisson and NB distributions, among others, as
        particular cases. An important feature of this family is that,
        while the Negative Binomial (NB) distribution only allows a
        quadratic mean-variance relationship, the PT distributions
        generalizes this relationship to any orde.
Version: 1.59.0
Date: 2023-07-05
Depends: R (>= 4.3.0)
Imports: Rcpp (>= 1.0.10), MASS, limma, edgeR, parallel, cqn,
        grDevices, graphics, stats, utils
Suggests: tweeDEseqCountData, xtable
LinkingTo: Rcpp
Encoding: UTF-8
License: GPL (>= 2)
LazyLoad: yes
URL: https://github.com/isglobal-brge/tweeDEseq/
BugReports: https://github.com/isglobal-brge/tweeDEseq/issues
biocViews: ImmunoOncology, StatisticalMethod, DifferentialExpression,
        Sequencing, RNASeq, DNASeq
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:36:03 UTC
RemoteUrl: https://github.com/bioc/tweeDEseq
RemoteRef: HEAD
RemoteSha: e54bd6c012435999fc9d7edcc422131f1c5a200f
NeedsCompilation: yes
Packaged: 2026-06-23 19:39:30 UTC; root
Author: Dolors Pelegri-Siso [aut, cre] (ORCID:
    <https://orcid.org/0000-0002-5993-3003>),
  Juan R. Gonzalez [aut] (ORCID: <https://orcid.org/0000-0003-3267-2146>),
  Mikel Esnaola [aut],
  Robert Castelo [aut]
Maintainer: Dolors Pelegri-Siso <dolors.pelegri@isglobal.org>