R2 for models with zero-inflation — r2_zeroinflated • performance

Calculates R2 for models with zero-inflation component, including mixed effects models.

Usage

r2_zeroinflated(model, method = c("default", "correlation"))

Arguments

model: A model.
method: Indicates the method to calculate R2. See 'Details'. May be abbreviated.

Value

For the default-method, a list with the R2 and adjusted R2 values. For method = "correlation", a named numeric vector with the correlation-based R2 value.

Details

The default-method calculates an R2 value based on the residual variance divided by the total variance. For method = "correlation", R2 is a correlation-based measure, which is rather crude. It simply computes the squared correlation between the model's actual and predicted response.

Examples

# \donttest{
if (require("pscl")) {
  data(bioChemists)
  model <- zeroinfl(
    art ~ fem + mar + kid5 + ment | kid5 + phd,
    data = bioChemists
  )

  r2_zeroinflated(model)
}
#> Loading required package: pscl
#> Classes and Methods for R originally developed in the
#> Political Science Computational Laboratory
#> Department of Political Science
#> Stanford University (2002-2015),
#> by and under the direction of Simon Jackman.
#> hurdle and zeroinfl functions by Achim Zeileis.
#> # R2 for Zero-Inflated and Hurdle Regression
#>        R2: 0.180
#>   adj. R2: 0.175
# }