GWASinlps: Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
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>).
| Version: | 2.4 |
| Depends: | mombf |
| Imports: | Rcpp (≥ 1.0.9), RcppArmadillo, fastglm, survival |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | glmnet |
| Published: | 2025-10-29 |
| DOI: | 10.32614/CRAN.package.GWASinlps |
| Author: | Nilotpal Sanyal 
[aut, cre] |
| Maintainer: | Nilotpal Sanyal <nilotpal.sanyal at gmail.com> |
| BugReports: | https://github.com/nilotpalsanyal/GWASinlps/issues |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://nilotpalsanyal.github.io/GWASinlps/ |
| NeedsCompilation: | yes |
| Materials: | README, NEWS |
| CRAN checks: | GWASinlps results |
Documentation:
| Reference manual: | GWASinlps.html , GWASinlps.pdf |
Downloads:
| Package source: | GWASinlps_2.4.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): GWASinlps_2.4.tgz, r-oldrel (arm64): GWASinlps_2.4.tgz, r-release (x86_64): GWASinlps_2.4.tgz, r-oldrel (x86_64): GWASinlps_2.4.tgz |
| Old sources: | GWASinlps archive |
Linking:
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