`compete.Rd`

This function returns the best model as explained in the documentation for the `autovar`

function.

compete(best, challenger, compare_outliers)

best | A model given as a list with at least the properties |
---|---|

challenger | Another model, also given as a list with properties |

compare_outliers | A boolean. When |

This function returns the best model of the two given models.

model1 <- list(logtransformed = FALSE, lag = 1, nr_dummy_variables = 1, model_score = 100, bucket = 0.05) model2 <- list(logtransformed = FALSE, lag = 2, nr_dummy_variables = 2, model_score = 200, bucket = 0.01) autovarCore:::compete(model1, model2, TRUE)#> $logtransformed #> [1] FALSE #> #> $lag #> [1] 1 #> #> $nr_dummy_variables #> [1] 1 #> #> $model_score #> [1] 100 #> #> $bucket #> [1] 0.05 #>