Last data update: 2014.03.03


Package: AutoModel
Type: Package
Title: Automated Hierarchical Multiple Regression with Assumptions
Version: 0.4.9
Date: 2015-08-12
Author: Alex Lishinski
Maintainer: Alex Lishinski <>
Description: 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.
License: GPL-3
LazyData: TRUE
Depends: R (>= 3.1.3),
Imports: lmtest, car, MASS, broom, rowr, ROCR, dplyr, BaylorEdPsych,
aod, gtools
Suggests: knitr, xtable, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2015-08-12 21:04:25 UTC; alex
Repository: CRAN
Date/Publication: 2015-08-23 23:42:08

8 images, 12 functions, 0 datasets
● Reverse Depends: 0

Install log

* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'AutoModel' ...
** package 'AutoModel' successfully unpacked and MD5 sums checked
** R
** inst
** preparing package for lazy loading
** help
*** installing help indices
  converting help for package 'AutoModel'
    finding HTML links ... done
    assumptions_check                       html  
    classification_table                    html  
    create_formula_objects                  html  
    create_model_objects                    html  
    modelCompareMod                         html  
    model_coefficient_table                 html  
    model_coefficient_table_binomial        html  
    model_output                            html  
    model_output_binomial                   html  
    model_summary_table                     html  
    model_summary_table_binomial            html  
    run_model                               html  
** building package indices
** installing vignettes
** testing if installed package can be loaded
* DONE (AutoModel)
Making 'packages.html' ... done