# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "GWASinlps" in publications use:' type: software license: GPL-2.0-or-later title: 'GWASinlps: Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies' version: '2.3' doi: 10.32614/CRAN.package.GWASinlps abstract: 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 ). authors: - family-names: Sanyal given-names: Nilotpal email: nilotpal.sanyal@gmail.com orcid: https://orcid.org/0000-0003-4814-7602 repository: https://CRAN.R-project.org/package=GWASinlps repository-code: https://github.com/nilotpalsanyal/GWASinlps url: https://nilotpalsanyal.github.io/GWASinlps/ date-released: '2024-10-19' contact: - family-names: Sanyal given-names: Nilotpal email: nilotpal.sanyal@gmail.com orcid: https://orcid.org/0000-0003-4814-7602