repmod (version 0.4.11)

boot_model: Bootstrap optimism correction for models

Description

Returns optimism correction for absolute fit values

Usage

boot_model(
  formula,
  data,
  B = 200,
  fit_function = "lm",
  metric = if (length(unique(data[, as.character(formula)[2]])) == 2) "AUC" else "RMSE",
  predict.control = list(NULL),
  ...
)

Value

Optimism correction values for the selected performance metric

Arguments

formula

An object of class "formula" describing the model to be validated

data

A data frame containing the variables specified in formula argument

B

Number of bootstrap samples

fit_function

Name of the model fitting function

metric

Performance metric to estimate: RMSE, MSE, MAE or AUC

predict.control

Named list of arguments to pass to the predict function of the model

...

Further arguments passed to the model fitting function

Examples

boot_model(Petal.Length ~ Sepal.Width + Species, data=iris)