kfold_cv_lm: K-fold Cross Validation for linear models
In joestoica/STAT-S-432-Package:

Description Usage Arguments Details Value Examples

View source: R/kfold_cv_lm.R

Returns the mean of the mean risks calculated in through k-fold cross validation for each specified formula

1	kfold_cv_lm(data, formulae, nfolds = 5)

`data`	The dataset you would like to run k-fold cross validation on
`formulae`	One or more strings that are converted to a Formula object
`nfolds`	The number of folds you would like to use, default to 5

This function subsets the data given by the data argument into k randomly assigned subsets. Each subset is then broken up into training and testing data for each fold. A linear model is fit for each fold for each formula, and then the MSE is calculated. Once all of the k MSEs are calculated for a formula, the mean of the MSEs are returned.

The mean of the mean risks calculated in each iteration of the cross validation for each specified formula

kfold_cv_lm(data = iris, formulae = "Sepal.Length ~ Sepal.Width", nfolds = 5)
kfold_cv_lm(data = iris, formulae = c("Sepal.Length ~ Sepal.Width",
"Sepal.Length ~ Petal.Length"),
 nfolds = 5)