iZID computes bootstrapped Monte Carlo estimate of p-value of KS test and likelihood ratio test for zero-inflated count data based on the previous work of Aldirawi et al. (2019). This package also enables user to compute maximum likelihood estimate of data from standard, zero-inflated or hurdle beta binomial, beta negative binomial, negative binomial and Poisson distributions. Besides, user can generate random deviates from the aforementioned distributions.


The released version of iZID can be downloaded from CRAN with:



12 functions are exported from this package which can be classified as five classes: