ridge_regression: Ridge Regression
In Zebedial/bis557: The package created for BIS557 Homework 1
Description
Usage
Arguments
Value
Examples
View source: R/ridge_regression.R
Description
Implement a ridge regression function taking into account colinear (or nearly colinear) regression variables.
Usage
1
ridge_regression(formula, data, lambda = 0, contrasts = NULL, tol = 1e-08)
Arguments
formula
a formula that accounts for the model of interest
data
a dataframe that contains the variables of interest
lambda
ridge penalty with default value 0
contrasts
an list of contrast
tol
a tolerance to detect collinearity
Value
A list of beta estimates and the formula.
Examples
1
2
data(iris)
ridge_regression(Sepal.Length ~ ., iris, 0.01)
Zebedial/bis557 documentation built on Dec. 21, 2020, 2:16 a.m.
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Description Usage Arguments Value Examples
View source: R/ridge_regression.R
Description
Implement a ridge regression function taking into account colinear (or nearly colinear) regression variables.
Usage
1 | ridge_regression(formula, data, lambda = 0, contrasts = NULL, tol = 1e-08)
|
Arguments
formula |
a formula that accounts for the model of interest |
data |
a dataframe that contains the variables of interest |
lambda |
ridge penalty with default value 0 |
contrasts |
an list of contrast |
tol |
a tolerance to detect collinearity |
Value
A list of beta estimates and the formula.
Examples
1 2 | data(iris)
ridge_regression(Sepal.Length ~ ., iris, 0.01)
|
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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