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.

Getting started

Package details

AuthorJi-Hyung Shin <[email protected]>, Brad McNeney <[email protected]>, Jinko Graham <[email protected]>
MaintainerJi-Hyung Shin <[email protected]>
LicenseGPL-2
Version0.1-1
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("trioGxE")

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trioGxE documentation built on May 2, 2019, 3:41 p.m.