Package: sumFREGAT
Title: Fast Region-Based Association Tests on Summary Statistics
Version: 1.2.5
Author: Nadezhda M. Belonogova <belon@bionet.nsc.ru> and 
    Gulnara R. Svishcheva <gulsvi@bionet.nsc.ru>
    with contributions from:
    Seunggeun Lee (kernel functions),
    Pierre Lafaye de Micheaux ('davies' method),
    Thomas Lumley ('kuonen' method),
    Minghui Wang, Yiyuan Liu, Shizhong Han (simpleM function), 
    Yaowu Liu (ACAT function),
    James O. Ramsay (functional data analysis functions),
    Xihao Li, Zilin Li, and Han Chen (conception of the STAAR procedure)
Maintainer: Nadezhda M. Belonogova <belon@bionet.nsc.ru>
Depends: R (>= 3.0.0)
Imports: methods, Matrix, splines, seqminer, GBJ
Suggests: data.table
Repository: CRAN
Description: An adaptation of classical region/gene-based association analysis
    techniques to the use of summary statistics (P values and effect sizes)
    and correlations between genetic variants as input. It is a tool to perform
    the most popular and efficient gene-based tests using the results of genome-wide
    association (meta-)analyses without having the original genotypes and
    phenotypes at hand.
    See for details:
    Svishcheva et al (2019) Gene-based association tests using GWAS summary
    statistics. Bioinformatics.
    Belonogova et al (2022) SumSTAAR: A flexible framework for gene-based
    association studies using GWAS summary statistics. PLOS Comp Biol.
License: GPL-3
LazyLoad: yes
NeedsCompilation: yes
Packaged: 2022-06-06 12:19:21 UTC; lima
Date/Publication: 2022-06-07 08:10:13 UTC
Built: R 4.2.3; x86_64-w64-mingw32; 2024-04-24 01:55:23 UTC; windows
ExperimentalWindowsRuntime: ucrt
Archs: x64
