Package: gaga
Version: 2.58.0
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-release.r-universe.dev
Date/Publication: 2026-04-28 12:32:39 UTC
RemoteUrl: https://github.com/bioc/gaga
RemoteRef: RELEASE_3_23
RemoteSha: 6607181e4e8595dda7b8d6236c8ac7cf8ed1039c
NeedsCompilation: yes
Packaged: 2026-06-23 23:16:59 UTC; root