ridge_regression: Ridge Regression Considering Collinearity
In BillyTian/bis557: Package containing assignments, projects or other products in BIS557
Description
Usage
Arguments
Value
Examples
View source: R/ridge-regression.R
Description
This is a ridge regression function taking into account collinear or nearly collinear regression variables.
Usage
1
ridge_regression(form, data, lambda)
Arguments
form
a formula with the legal format.
data
a dataframe provided by the user.
lambda
a penalty parameter specified by the user.
Value
a list including the coefficient estimates.
Examples
1
2
3
data(iris)
fit <- ridge_regression(Sepal.Length ~ ., iris)
fit$coefficients
BillyTian/bis557 documentation built on Dec. 19, 2020, 7:30 a.m.
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Description Usage Arguments Value Examples
View source: R/ridge-regression.R
Description
This is a ridge regression function taking into account collinear or nearly collinear regression variables.
Usage
1 | ridge_regression(form, data, lambda)
|
Arguments
form |
a formula with the legal format. |
data |
a dataframe provided by the user. |
lambda |
a penalty parameter specified by the user. |
Value
a list including the coefficient estimates.
Examples
1 2 3 | data(iris)
fit <- ridge_regression(Sepal.Length ~ ., iris)
fit$coefficients
|
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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