Last data update: 2014.03.03
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AutoModel
Package: AutoModel
Type: Package
Title: Automated Hierarchical Multiple Regression with Assumptions
Checking
Version: 0.4.9
Date: 2015-08-12
Author: Alex Lishinski
Maintainer: Alex Lishinski <alexlishinski@gmail.com>
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
URL: https://github.com/alishinski/AutoModel
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
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
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