Traditional meta-regression based method has been developed for using meta-analysis data, but it faced the challenge of inconsistent estimates. This package purpose a new statistical method to detect epistasis using incomplete information summary, and have proven it not only successfully let consistency of evidence, but also increase the power compared with traditional method (Detailed tutorial is shown in website).
| Version: | 1.1-1 |
| Depends: | R (≥ 2.10), graphics, stats, utils |
| Suggests: | knitr |
| Published: | 2016-04-10 |
| Author: | Chin Lin |
| Maintainer: | Chin Lin <xup6fup at gmail.com> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| In views: | MetaAnalysis |
| CRAN checks: | etma results |
| Reference manual: | etma.pdf |
| Vignettes: |
etma |
| Package source: | etma_1.1-1.tar.gz |
| Windows binaries: | r-devel: etma_1.1-1.zip, r-release: etma_1.1-1.zip, r-oldrel: etma_1.1-1.zip |
| macOS binaries: | r-release: etma_1.1-1.tgz, r-oldrel: etma_1.1-1.tgz |
| Old sources: | etma archive |
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