Package: GWASinlps
Type: Package
Title: Non-Local Prior Based Iterative Variable Selection Tool for
        Genome-Wide Association Studies
Version: 2.0
Date: 2022-09-14
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, combining in an iterative framework, the computational efficiency of the screen-and-select variable selection approach based on some association learning and the parsimonious uncertainty quantification provided by the use of non-local priors as described in Sanyal et al. (2019) <DOI:10.1093/bioinformatics/bty472>. 
License: GPL (>= 2)
Depends: mombf, fastglm
Imports: Rcpp (>= 1.0.9), RcppArmadillo, horseshoe
Suggests: glmnet
LinkingTo: Rcpp, RcppArmadillo
URL: https://nilotpalsanyal.github.io/GWASinlps/
BugReports: https://github.com/nilotpalsanyal/GWASinlps/issues
Repository: CRAN
NeedsCompilation: yes
Packaged: 2022-09-14 08:35:29 UTC; nsanyal
Author: Nilotpal Sanyal [aut, cre] (<https://orcid.org/0000-0003-4814-7602>)
Maintainer: Nilotpal Sanyal <nilotpal.sanyal@gmail.com>
Date/Publication: 2022-09-14 08:50:08 UTC
