model_performance.ivreg: Performance of instrumental variable regression models

In performance: Assessment of Regression Models Performance

Performance of instrumental variable regression models

Description

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.

performance documentation built on Oct. 19, 2024, 1:07 a.m.