Computes maximum likelihood estimate of general, zero inflated, and zero altered models for discrete and continuous distributions. Computes KolmogorovSmirnov (KS) test and likelihood ratio test for general, zeroinflated, and zeroaltered data. It obtains the inverse of fisher information matrix and confidence interval for the parameters of general, zero inflated, and zero altered models. It simulate random deviates from zero inflated or hurdle models to obtain maximum likelihood estimate. It is based on the work of Aldirawi et al. (2022) <doi:10.1007/s4251902100230y>.
Package details 


Author  Niloufar Dousti Mousavi [aut, cre, cph], Hani Aldirawi [aut, cph], Jie Yang [aut, cph] 
Maintainer  Niloufar Dousti Mousavi <sdoust2@uic.edu> 
License  MIT + file LICENSE 
Version  0.0.2 
Package repository  View on CRAN 
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