Automated Multiple Regression Modelling
Description
Automated Multiple Regression Modelling
Usage
1 2 3 
Arguments
outcome 
The dependent variable of the hierarchical model 
block1 
A character vector, with names of variables. The first block of independent variables. 
... 
A character vector, with names of variables. Subsequent blocks of independent variables. 
dataset 
A data frame containing variables refered to in

type 
Family argument to pass to 
assumptions.check 
Boolean, if TRUE, then assumption checks are run and output is produced. If FALSE, only model summary and coefficient tables are produced. 
outliers.check 
Determines how many observations to display for outliers check. Default is significant observations. "All" shows all residual and Cook's D values. 
transform.outcome 
A boolean. If TRUE, a variable transformation of the outcome is substituted in the final model if outcome is nonnormal. NOT IMPLEMENTED YET. 
Details
Calls other functions to generate model objects and test them, given
specified model parameters and other options. Formatted output is produced
via model_output
Examples
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