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Functions for Meta-analysis Burden Test, Sequence Kernel Association Test (SKAT) and Optimal SKAT (SKAT-O) by Lee et al. (2013) <doi:10.1016/j.ajhg.2013.05.010>. These methods use summary-level score statistics to carry out gene-based meta-analysis for rare variants.
| Version: | 0.90 |
| Depends: | R (≥ 2.13.0) |
| Imports: | SKAT (≥ 2.0.1) |
| Published: | 2024-10-08 |
| DOI: | 10.32614/CRAN.package.MetaSKAT |
| Author: | Seunggeun (Shawn) Lee [aut, cre] |
| Maintainer: | Seunggeun (Shawn) Lee <lee7801 at snu.ac.kr> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| SystemRequirements: | Little Endian |
| In views: | MetaAnalysis |
| CRAN checks: | MetaSKAT results |
| Reference manual: | MetaSKAT.pdf |
| Vignettes: |
SKAT (source, R code) |
| Package source: | MetaSKAT_0.90.tar.gz |
| Windows binaries: | r-devel: MetaSKAT_0.90.zip, r-release: MetaSKAT_0.90.zip, r-oldrel: MetaSKAT_0.90.zip |
| macOS binaries: | r-release (arm64): MetaSKAT_0.90.tgz, r-oldrel (arm64): MetaSKAT_0.90.tgz, r-release (x86_64): MetaSKAT_0.90.tgz, r-oldrel (x86_64): MetaSKAT_0.90.tgz |
| Old sources: | MetaSKAT archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.