The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

episcan: Scan Pairwise Epistasis

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
DOI: 10.32614/CRAN.package.episcan
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

Documentation:

Reference manual: episcan.pdf
Vignettes: episcan

Downloads:

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 (arm64): episcan_0.0.1.tgz, r-oldrel (arm64): episcan_0.0.1.tgz, r-release (x86_64): episcan_0.0.1.tgz, r-oldrel (x86_64): episcan_0.0.1.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=episcan to link to this page.

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.
Health stats visible at Monitor.