Package: gaga
Version: 2.59.0
Date: 2025-02-26
Title: GaGa hierarchical model for high-throughput data analysis
Author: David Rossell <rosselldavid@gmail.com>.
Maintainer: David Rossell <rosselldavid@gmail.com>
Depends: R (>= 2.8.0), Biobase, coda, EBarrays, mgcv
Enhances: parallel
Description: Implements the GaGa model for high-throughput data
        analysis, including differential expression analysis,
        supervised gene clustering and classification. Additionally, it
        performs sequential sample size calculations using the GaGa and
        LNNGV models (the latter from EBarrays package).
License: GPL (>= 2)
biocViews: ImmunoOncology, OneChannel, MassSpectrometry,
        MultipleComparison, DifferentialExpression, Classification
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:32:39 UTC
RemoteUrl: https://github.com/bioc/gaga
RemoteRef: HEAD
RemoteSha: bf2188e89721c8076fadb264c211cd942fed3509
NeedsCompilation: yes
Packaged: 2026-07-04 09:28:03 UTC; root