Searching genomic interactions with linear/logistic regression in a high-dimensional dataset is a time-consuming task. This package provides some efficient ways to scan epistasis in genome-wide interaction studies (GWIS). Both case-control status (binary outcome) and quantitative phenotype (continuous outcome) are supported (the main references: 1. Kam-Thong, T., D. Czamara, K. Tsuda, K. Borgwardt, C. M. Lewis, A. Erhardt-Lehmann, B. Hemmer, et al. (2011). <doi:10.1038/ejhg.2010.196>. 2. Kam-Thong, T., B. Pütz, N. Karbalai, B. Müller-Myhsok, and K. Borgwardt. (2011). <doi:10.1093/bioinformatics/btr218>.)
| Version: | 0.0.1 |
| Depends: | R (≥ 3.5.0) |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2018-09-14 |
| Author: | Beibei Jiang and Benno Pütz |
| Maintainer: | Beibei Jiang <beibei_jiang at psych.mpg.de> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | episcan results |
| Reference manual: | episcan.pdf |
| Vignettes: |
episcan |
| Package source: | episcan_0.0.1.tar.gz |
| Windows binaries: | r-devel: episcan_0.0.1.zip, r-release: episcan_0.0.1.zip, r-oldrel: episcan_0.0.1.zip |
| macOS binaries: | r-release: episcan_0.0.1.tgz, r-oldrel: episcan_0.0.1.tgz |
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