Hierarchical Inference Testing
The current built and test status for Linux (Mac) and for Windows .
Description:
Hierarchical inference testing (HIT) for (generalized) linear models with correlated covariates. HIT is furthermore applicable to high-dimensional settings. For details see:
Mandozzi, J. and Buehlmann, P. (2015). Hierarchical testing in the high-dimensional setting with correlated variables. Journal of the American Statistical Association. Preprint
Klasen, J. R. et al. (2016). A multi-marker association method for genome-wide association studies without the need for population structure correction. Nature Communications. Paper
Installation:
The package can be installed from CRAN,
install.packages("hit")
or via
devtools
, if you haven't devtools installed yet you have to do so first.
# install.packages("devtools")
devtools::install_github("QTCAT/hit")Example:
The hit-function example gives an overview of the functionality of the
package and can be accessed once the package is loaded.
library(hit)
example(hit)