my_lm_ridge: Ridge Regression
In tqchen07/bis557: Package Encapsulating work for BIS557
Description
Usage
Arguments
Examples
Description
Perform ridge regression, which is able to deal with collinearity among the columns of the design
Usage
1
my_lm_ridge(form, data, lambda)
Arguments
form
a formula object, e.g. y ~ x1 + x2
data
a data frame
lambda
a scalar (tuning parameter) from 0 to infinity, also called the penalty parameter
Examples
1
2
3
data(iris)
ridge_fit <- my_lm_ridge(form = Sepal.Length ~ ., data = iris, lambda = 0.5)
ridge_fit$coefficients
tqchen07/bis557 documentation built on Dec. 21, 2020, 3:06 a.m.
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Description Usage Arguments Examples
Description
Perform ridge regression, which is able to deal with collinearity among the columns of the design
Usage
1 | my_lm_ridge(form, data, lambda)
|
Arguments
form |
a formula object, e.g. y ~ x1 + x2 |
data |
a data frame |
lambda |
a scalar (tuning parameter) from 0 to infinity, also called the penalty parameter |
Examples
1 2 3 | data(iris)
ridge_fit <- my_lm_ridge(form = Sepal.Length ~ ., data = iris, lambda = 0.5)
ridge_fit$coefficients
|
R Package Documentation
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