  In this work we apply several Poisson and zero-inflated models for software
defect prediction. We apply different functions from several R packages such as
pscl, MASS, R2Jags and the recent glmmTMB. We test the functions using the
Equinox dataset. The results show that Zero-inflated models, fitted with either
maximum likelihood estimation or with Bayesian approach, are slightly better
than other models, using the AIC as selection criterion.
