Automated Hierarchical Multiple Regression with Assumptions Checking

A set of functions that automates the process and produces reasonable output for hierarchical multiple regression models. It allows you to specify predictor blocks, from which it generates all of the linear models, and checks the assumptions of the model, producing the requisite plots and statistics to allow you to judge the suitability of the model.


Reference manual

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0.4.9 by Alex Lishinski, 4 years ago

Browse source code at

Authors: Alex Lishinski

Documentation:   PDF Manual  

GPL-3 license

Imports lmtest, car, MASS, broom, rowr, ROCR, dplyr, BaylorEdPsych, aod, gtools

Suggests knitr, xtable, testthat

See at CRAN