GWASinlps
Non-Local Prior Based Iterative Variable Selection Tool for Genome-Wide Association Studies
v2.4
·
Oct 29, 2025
·
GPL (>= 2)
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>).
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| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
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| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
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| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |