Package: GWASinlps
Type: Package
Title: Non-Local Prior Based Iterative Variable Selection Tool for
        Genome-Wide Association Studies
Version: 2.5
Date: 2026-07-17
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: modelSelection
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
NeedsCompilation: yes
Packaged: 2026-10-25 08:56:47 UTC; root
Author: Nilotpal Sanyal [aut, cre] (ORCID:
        <https://orcid.org/0000-0003-4814-7602>)
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-07-17 23:40:02 UTC
RemoteUrl: https://github.com/cran/GWASinlps
RemoteRef: HEAD
RemoteSha: aafc39c40e0760a0229eab513e60e507b2e2d4b5