get_cv_error: Helper function for cross-validation; sampling part
In saralsmith/SHIFT: SHiny Improved Forecasting Tool
Description
Helper function for cross-validation; sampling part
Usage
1
get_cv_error(model.formula, data, nvars)
Arguments
model.formula
The formula for the model
data
The dataframe containing the regression data
nvars
The max number of variables to use in the best subset model
saralsmith/SHIFT documentation built on Feb. 7, 2021, 5:48 p.m.
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Description
Helper function for cross-validation; sampling part
Usage
1 | get_cv_error(model.formula, data, nvars)
|
Arguments
model.formula |
The formula for the model |
data |
The dataframe containing the regression data |
nvars |
The max number of variables to use in the best subset model |
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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