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

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 developed in the #> Political Science Computational Laboratory #> Department of Political Science #> Stanford University #> Simon Jackman #> hurdle and zeroinfl functions by Achim Zeileis
#> # R2 for Zero-Inflated and Hurdle Regression #> R2: 0.180 #> adj. R2: 0.175
# }