Performance of instrumental variable regression models

Usage

# S3 method for class 'ivreg'
model_performance(model, metrics = "all", verbose = TRUE, ...)

Arguments

model: A model.
metrics: Can be "all", "common" or a character vector of metrics to be computed (some of c("AIC", "AICc", "BIC", "R2", "RMSE", "SIGMA", "Sargan", "Wu_Hausman", "weak_instruments")). "common" will compute AIC, BIC, R2 and RMSE.
verbose: Toggle off warnings.
...: Arguments passed to or from other methods.

Details

model_performance() correctly detects transformed response and returns the "corrected" AIC and BIC value on the original scale. To get back to the original scale, the likelihood of the model is multiplied by the Jacobian/derivative of the transformation.