Bivariate Zero-Inflated Count Models Using Copulas
Bizicount: Maximum likelihood estimation of copula-based bivariate zer...
Texreg for bizicount objects
Texreg for zicreg objects
DHARMa-class objects from bizicount models
The bizicount S4 Class
bizicount: Copula-Based Bivariate Zero-Inflated Count Regression Model...
Predictions for univariate zero-inflated count regression models
Simulating response values using parameters from fitted bizicount mode...
Simulating response values from fitted univariate zero-inflated count ...
He's (2019) test for zero-modification
Univariate zero-inflated Poisson and negative binomial regression mode...
The zicreg S4 Class
The zero-inflated negative binomial (ZINB) distribution
The zero-inflated Poisson (ZIP) distribution
Maximum likelihood estimation of copula-based zero-inflated (and non-inflated) Poisson and negative binomial count models, based on the article <doi:10.18637/jss.v109.i01>. Supports Frank and Gaussian copulas. Allows for mixed margins (e.g., one margin Poisson, the other zero-inflated negative binomial), and several marginal link functions. Built-in methods for publication-quality tables using 'texreg', post-estimation diagnostics using 'DHARMa', and testing for marginal zero-modification via <doi:10.1177/0962280217749991>. For information on copula regression for count data, see Genest and Nešlehová (2007) <doi:10.1017/S0515036100014963> as well as Nikoloulopoulos (2013) <doi:10.1007/978-3-642-35407-6_11>. For information on zero-inflated count regression generally, see Lambert (1992) <https://www.jstor.org/stable/1269547>. The author acknowledges support by NSF DMS-1925119 and DMS-212324.