glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling
Count data can be analyzed using generalized linear mixed models when observations are correlated in ways that require random effects.However, count data are often zero-inflated, containing more zeros than would be expected from the typical error distributions.We present a new package, glmmTMB, and compare it to other R packages that …