trioGxE: A data smoothing approach to explore and test gene-environment interaction in case-parent trio data

The package contains functions that 1) estimates gene-environment interaction between a SNP and a continuous non-genetic attribute by fitting a generalized additive model to case-parent trio data, 2) produces graphical displays of estimated interaction, 3) performs permutation test of gene-environment interaction; 4) simulates informative case-parent trios.

Version: 0.1-1
Depends: msm, mgcv, gtools
Published: 2013-04-03
Author: Ji-Hyung Shin, Brad McNeney, Jinko Graham
Maintainer: Ji-Hyung Shin <shin at>
License: GPL-2
NeedsCompilation: no
CRAN checks: trioGxE results


Reference manual: trioGxE.pdf
Package source: trioGxE_0.1-1.tar.gz
MacOS X binary: trioGxE_0.1-1.tgz
Windows binary: