Overview
Implements a fully rank-based and flexible approach to test for association between a set of genetic variants and an outcome, while accounting for within-family correlation and adjusting for covariates. SRAT includes the well-known Wilcoxon rank sum test as a special case. Comparing to existing methods, SRAT has the advantages of allowing for unknown correlation structures and weaker assumptions about the outcome distribution.
Installation
Install development version from GitHub:
# install.packages("remotes") remotes::install_github("celehs/SRAT")
References
W Dai, M Yang, C Wang, T Cai. Sequence robust association test for familial data. Biometrics, 2017, 73(3):876–884. https://doi.org/10.1111/biom.12643