ridge_regression: Implement a ridge regression taking collinear features into...
In emmmmmxj/bis557: Ridge Regression
Description
Usage
Arguments
Value
Examples
View source: R/ridge_regression.R
Description
Implement a ridge regression taking collinear features into account.
Usage
1
ridge_regression(formula, data, lambda, intercept = TRUE)
Arguments
formula
An object of class formula to describe how the model is fitted.
data
A data frame.
lambda
An object of class numeric for the shrinkage parameter lambda.
intercept
A logical value to indicate if intercept is included,
default = TRUE
Value
A list of vectors for coefficients, lambda and formula.
Examples
1
2
emmmmmxj/bis557 documentation built on Nov. 4, 2019, 11:54 a.m.
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Description Usage Arguments Value Examples
View source: R/ridge_regression.R
Description
Implement a ridge regression taking collinear features into account.
Usage
1 | ridge_regression(formula, data, lambda, intercept = TRUE)
|
Arguments
formula |
An object of class formula to describe how the model is fitted. |
data |
A data frame. |
lambda |
An object of class numeric for the shrinkage parameter lambda. |
intercept |
A logical value to indicate if intercept is included, default = TRUE |
Value
A list of vectors for coefficients, lambda and formula.
Examples
1 2 |
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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