mod_backward: Backward regression based on adjusted R2
In cottinlola/modeleVariablesAP: Apply models to all variables
mod_backward R Documentation
Backward regression based on adjusted R2
Description
Backward regression based on adjusted R2
Usage
mod_backward(data, x_names, y_name, r2_threshold = 0.001)
Arguments
data
training dataset
x_names
X variables
y_name
y variable
Value
best (ie parsimonious) model
cottinlola/modeleVariablesAP documentation built on April 30, 2022, 7:42 a.m.
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| mod_backward | R Documentation |
Backward regression based on adjusted R2
Description
Backward regression based on adjusted R2
Usage
mod_backward(data, x_names, y_name, r2_threshold = 0.001)
Arguments
data |
training dataset |
x_names |
X variables |
y_name |
y variable |
Value
best (ie parsimonious) model
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.
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