Hierarchical Inference Testing

Hierarchical inference testing (HIT) for (generalized) linear models with correlated covariates applicable to high-dimensional settings.

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)

© 2016 JR Klasen