An implementation for association analysis with CNV data in R. It provides two methods for association study: first, the observed probe intensity measurement can be directly used to detect the association of CNV with phenotypes of interest. Second, the most probable copy number is estimated with the proposed likelihood and the association of the most probable copy number with phenotype is tested. This method can be applied to both the independent and correlated population.
| Version: | 0.1 |
| Depends: | Rcpp (≥ 0.10.4), RcppArmadillo (≥ 0.3.900.0), ggplot2 |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2014-01-02 |
| Author: | Meiling Liu, Sungho Won and Weicheng Zhu |
| Maintainer: | Meiling Liu <meiling.sta at gmail.com> |
| License: | MIT + file LICENSE |
| URL: | https://github.com/rksyouyou/PedCNV |
| NeedsCompilation: | yes |
| CRAN checks: | PedCNV results |
| Reference manual: | PedCNV.pdf |
| Package source: | PedCNV_0.1.tar.gz |
| Windows binaries: | r-devel: PedCNV_0.1.zip, r-release: PedCNV_0.1.zip, r-oldrel: PedCNV_0.1.zip |
| macOS binaries: | r-release: PedCNV_0.1.tgz, r-oldrel: PedCNV_0.1.tgz |
Please use the canonical form https://CRAN.R-project.org/package=PedCNV to link to this page.