Inference with Extreme Value Inflated Count Data
Bootstrap coefficient extractor
Bootstrap coefficient extractor
Bootstrap coefficient extractor
Bootstrap coefficient extractor
Random draws from a fitted evzinb model
Bootstrap coefficient extractor
Function to compare evzinb or evinb models with zinb and nb models
Running an extreme value inflated negative binomial model with bootstr...
evinf: Inference with Extreme Value Inflated Count Data
Running an extreme value and zero inflated negative binomial model wit...
EVZINB and EVINB glance functions
EVZINB and EVINB glance functions
zinbboot and nboot glance functions
zinbboot and nboot glance functions
Random draws from a fitted evinb model
Likelihood ratio test for individual variables of evzinb
Out of bag predictive performance of EVZINB and EVINB models
Predictions from evinb object
Predictions from evzinb object
Prediction for zinbboot
EVINB print function
EVZINB print function
Compare_models print function
EVINB summary function
EVZINB summary function
EVINB tidy function
EVZINB tidy function
Tidy function for nbboot
Tidy function for zinbboot
Allows users to model and draw inferences from extreme value inflated count data, and to evaluate these models and compare to non extreme-value inflated counterparts. The package is built to be compatible with standard presentation tools such as 'broom', 'tidy', and 'modelsummary'.