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DESCRIPTION
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DESCRIPTION
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Package: GWASinlps
Type: Package
Title: Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
Version: 2.2
Date: 2022-11-22
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, horseshoe, survival
Suggests: glmnet
LinkingTo: Rcpp, RcppArmadillo
URL: https://nilotpalsanyal.github.io/GWASinlps/
BugReports: https://github.com/nilotpalsanyal/GWASinlps/issues
Repository: CRAN