PedCNV: An implementation for association analysis with CNV data

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

Downloads:

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
OS X Snow Leopard binaries: r-release: PedCNV_0.1.tgz, r-oldrel: PedCNV_0.1.tgz
OS X Mavericks binaries: r-release: PedCNV_0.1.tgz