stepwise_selection: Select predictor that create best fit model using forward...
In RotanaRad/rotsurpackage: Conduct a Multiple Logistic Regression
Description
Usage
Arguments
Value
Examples
View source: R/stepwise_selection_function.r
Description
Select predictor that create best fit model using forward selection methods
Usage
1
Arguments
data
a data frame
formula
specify dependent and independent variables for glm formula
Value
a list of candidate variables, list of added variables, and stepwise
summary table
Examples
1
stepwise_selection(data = ToothGrowth, supp ~ .)
RotanaRad/rotsurpackage documentation built on Dec. 18, 2021, 11:53 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Examples
View source: R/stepwise_selection_function.r
Description
Select predictor that create best fit model using forward selection methods
Usage
1 |
Arguments
data |
a data frame |
formula |
specify dependent and independent variables for glm formula |
Value
a list of candidate variables, list of added variables, and stepwise summary table
Examples
1 | stepwise_selection(data = ToothGrowth, supp ~ .)
|
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.