Package: GWASinlps
Type: Package
Title: Non-Local Prior Based Iterative Variable Selection Tool for
        Genome-Wide Association Studies
Version: 2.4
Date: 2025-10-29
Authors@R: c(person("Nilotpal", "Sanyal", role = c("aut", "cre"), email = "nilotpal.sanyal@gmail.com", comment = c(ORCID = "0000-0003-4814-7602")))
Description: Performs variable selection with data from Genome-wide association studies (GWAS), or other high-dimensional data with continuous, binary or survival outcomes, combining in an iterative framework the computational efficiency of the structured screen-and-select variable selection strategy based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors (see Sanyal et al., 2019 <DOI:10.1093/bioinformatics/bty472>). 
License: GPL (>= 2)
Depends: mombf
Imports: Rcpp (>= 1.0.9), RcppArmadillo, fastglm, survival
Suggests: glmnet
LinkingTo: Rcpp, RcppArmadillo
URL: https://nilotpalsanyal.github.io/GWASinlps/
BugReports: https://github.com/nilotpalsanyal/GWASinlps/issues
Repository: CRAN
NeedsCompilation: yes
Packaged: 2025-10-29 07:15:43 UTC; nsanyal
Author: Nilotpal Sanyal [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4814-7602>)
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>
Date/Publication: 2025-10-29 08:40:10 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-25 23:18:34 UTC; unix
Archs: GWASinlps.so.dSYM
