ridge_regression: Implements ridge regression with many predictors
In mknauss58/Lab-6-Group: This is a sparse package for a Stat 431 assignment.
View source: R/ridge_regression.R
ridge_regression R Documentation
Implements ridge regression with many predictors
Description
This function computes coefficients for ridge regression
All columns of the provided data frame are used as predictors, except the
one specified as a response.
Usage
ridge_regression(dat, response, lambda)
Arguments
dat
A data frame
response
The name of a response variable in the data frame (unquoted)
lambda
A vector of penalty terms to try
Details
No interaction terms are included.
Value
A data frame of coefficients
mknauss58/Lab-6-Group documentation built on May 22, 2022, 12:26 a.m.
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View source: R/ridge_regression.R
| ridge_regression | R Documentation |
Implements ridge regression with many predictors
Description
This function computes coefficients for ridge regression All columns of the provided data frame are used as predictors, except the one specified as a response.
Usage
ridge_regression(dat, response, lambda)
Arguments
dat |
A data frame |
response |
The name of a response variable in the data frame (unquoted) |
lambda |
A vector of penalty terms to try |
Details
No interaction terms are included.
Value
A data frame of 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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