oob_evaluation {evinf}

Out of bag predictive performance of EVZINB and EVINB models

Description

Out of bag predictive performance of EVZINB and EVINB models

Usage

oob_evaluation(
  object,
  predict_type = c("harmonic", "explog"),
  metric = c("rmsle", "rmse", "mse", "mae")
)

Arguments

object

A fitted evzinb or evinb with bootstraps on which to conduct out-of-bag evaluation

predict_type

What type of prediction should be made? Harmonic mean, or exp(log(prediction))?

metric

What metric should be used for the out of bag evaluation? Default options include rmsle, rmse, mse, and mae. Can also take a user supplied function of the form function(y_pred,y_true) which returns a single value

Value

A vector of oob evaluation metrics of the length of the number of bootstraps in the evzinb/evinb object.

Examples

data(genevzinb2)
model <- evzinb(y~x1+x2+x3,data=genevzinb2, n_bootstraps = 10)
oob_evaluation(model)