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: https://nilotpalsanyal.r-universe.dev
Date/Publication: 2026-01-22 19:21:40 UTC
RemoteUrl: https://github.com/nilotpalsanyal/gwasinlps
RemoteRef: HEAD
RemoteSha: 76bdbd97d7f7dafa1c77a8dd26637f3d7bdba158
NeedsCompilation: yes
Packaged: 2026-07-05 05:11:54 UTC; root
Author: Nilotpal Sanyal [aut, cre] (ORCID:
    <https://orcid.org/0000-0003-4814-7602>)
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>