Package: gaga
Version: 2.57.0
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: 2025-10-29 14:00:01 UTC
RemoteUrl: https://github.com/bioc/gaga
RemoteRef: HEAD
RemoteSha: f057de3e781b4c59617a9b2ea452598e4af44fa4
NeedsCompilation: yes
Packaged: 2025-11-02 03:41:51 UTC; root
Built: R 4.6.0; x86_64-w64-mingw32; 2025-11-02 03:43:29 UTC; windows
Archs: x64
