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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 arXiv:1312.5556.

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)

© 2015 JR Klasen

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Install

install.packages('hit')

Monthly Downloads

9

Version

0.2-2

License

GPL (>= 2)

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Maintainer

Jonas Klasen

Last Published

April 27th, 2016

Functions in hit (0.2-2)

samp1.lasso

Variabel Screening
heightDendrogram

Heights of Dendrogram
hit

Hierarchical Inference Testing
fast.anova

Fast ANOVA
summary.hit

Summary of HIT
hit-package

Hierarchical Inference Testing
as.hierarchy

Hierarchy Structure
dend2hier

Create a hierarchy from a dendrogram
fast.glmanova

Fast GLM F test of LR test ANOVA
fast.lmanova

Fast LM F test ANOVA
samp2.sigHierarchy

Variabel Testing along the hierarchy
names.hierarchy

Names of Hierarchy
heightHierarchy

Heights of Hierarchy
opt.penalty

Cross-validation of LASSO alpha and lambda
reorder.hierarchy

Reorder Hierarchy
samp2.sigNode

ANOVA testing and multiplicity adjustment