optimal_lambda: Selection of optimal penalty strength Ridge regression model
In damingli09/bis557: Package for homework of BIS557 Computational Statistics
View source: R/optimal_lambda.R
Description
Selection of optimal penalty strength for Ridge regression model using n-fold cross validation
Usage
1
optimal_lambda(X, y, lambdas, n)
Arguments
X
the data design matrix
y
the response vector
lambdas
an array of penalty strengths
n
number of folds in cross validation
damingli09/bis557 documentation built on Nov. 21, 2020, 9:11 a.m.
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View source: R/optimal_lambda.R
Description
Selection of optimal penalty strength for Ridge regression model using n-fold cross validation
Usage
1 | optimal_lambda(X, y, lambdas, n)
|
Arguments
X |
the data design matrix |
y |
the response vector |
lambdas |
an array of penalty strengths |
n |
number of folds in cross validation |
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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