check_zeroinflation() checks whether count models are
over- or underfitting zeros in the outcome.
check_zeroinflation(x, tolerance = 0.05)
Fitted model of class
The tolerance for the ratio of observed and predicted
zeros to considered as over- or underfitting zeros. A ratio
between 1 +/-
If the amount of observed zeros is larger than the amount of predicted zeros, the model is underfitting zeros, which indicates a zero-inflation in the data. In such cases, it is recommended to use negative binomial or zero-inflated models.
A list with information about the amount of predicted and observed zeros in the outcome, as well as the ratio between these two values.
1 2 3 4 5
Loading required package: glmmTMB # Check for zero-inflation Observed zeros: 387 Predicted zeros: 298 Ratio: 0.77 Model is underfitting zeros (probable zero-inflation). Warning message: In checkMatrixPackageVersion() : Package version inconsistency detected. TMB was built with Matrix version 1.2.15 Current Matrix version is 1.2.17 Please re-install 'TMB' from source using install.packages('TMB', type = 'source') or ask CRAN for a binary version of 'TMB' matching CRAN's 'Matrix' package
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