ridge_R: Ridge Regression Considering Collinearity
In BillyTian/bis557: Package containing assignments, projects or other products in BIS557
Description
Usage
Arguments
Value
Examples
Description
This is a ridge regression function taking into account collinear or nearly collinear regression variables.
Usage
1
ridge_R(X, Y, lambda = 0.01)
Arguments
X
a X model matrix created by function "model_matrices".
Y
a Y vector created by function "model_matrices".
lambda
a penalty parameter specified by the user (default=0.01).
Value
a list including the coefficient estimates.
Examples
1
2
3
data(iris)
fit <- ridge_regression(X, Y)
fit$coefficients
BillyTian/bis557 documentation built on Dec. 19, 2020, 7:30 a.m.
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Description Usage Arguments Value Examples
Description
This is a ridge regression function taking into account collinear or nearly collinear regression variables.
Usage
1 | ridge_R(X, Y, lambda = 0.01)
|
Arguments
X |
a X model matrix created by function "model_matrices". |
Y |
a Y vector created by function "model_matrices". |
lambda |
a penalty parameter specified by the user (default=0.01). |
Value
a list including the coefficient estimates.
Examples
1 2 3 | data(iris)
fit <- ridge_regression(X, Y)
fit$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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