ridge_hw2c: OLS with Ridge Regression
In brian-d1018/bis557: Brian's BIS 557 Work
Description
Usage
Arguments
Value
Examples
Description
This function fits linear models with the ridge regression
regularization (using the l2 norm). This method is used to reduce overfitting.
Usage
1
ridge_hw2c(form, d, lambda_val, contrasts = NULL)
Arguments
form
linear model formula
d
data frame
lambda_val
the lambda value (regularization parameter)
contrasts
optional list of constants for factor variables aka contrast
Value
the best-fit coefficients with ridge regularization
Examples
1
2
data(iris)
ridge_hw2c(Sepal.Length ~ ., iris, lambda_val = 1)
brian-d1018/bis557 documentation built on Dec. 17, 2020, 6:21 p.m.
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Description Usage Arguments Value Examples
Description
This function fits linear models with the ridge regression regularization (using the l2 norm). This method is used to reduce overfitting.
Usage
1 | ridge_hw2c(form, d, lambda_val, contrasts = NULL)
|
Arguments
form |
linear model formula |
d |
data frame |
lambda_val |
the lambda value (regularization parameter) |
contrasts |
optional list of constants for factor variables aka contrast |
Value
the best-fit coefficients with ridge regularization
Examples
1 2 | data(iris)
ridge_hw2c(Sepal.Length ~ ., iris, lambda_val = 1)
|
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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