The COMPoissonReg R package fits COM-Poisson regression (Sellers & Shmueli, 2010) and zero-inflated (ZI) COM-Poisson regression models (Sellers & Raim, 2016). The syntax to fit a model looks like
where formula.lambda is a regression model for the COM-Poisson rate parameter, formula.nu is a model for the dispersion parameter, and formula.p is a model for the zero-inflation parameter. See the package documentation for details.
References
Kimberly F. Sellers and Galit Shmueli (2010). A Flexible Regression Model for
Count Data. Annals of Applied Statistics, 4(2), 943-961. [http]
Kimberly F. Sellers and Andrew M. Raim (2016). A Flexible Zero-Inflated Model
to Address Data Dispersion. Computational Statistics and Data Analysis, 99,
68-80. [http]
关于
用于拟合和比较 Conway-Maxwell-Poisson (COM-Poisson) 回归模型的 R 语言包
COMPoissonReg
The COMPoissonReg R package fits COM-Poisson regression (Sellers & Shmueli, 2010) and zero-inflated (ZI) COM-Poisson regression models (Sellers & Raim, 2016). The syntax to fit a model looks like
where
formula.lambdais a regression model for the COM-Poisson rate parameter,formula.nuis a model for the dispersion parameter, andformula.pis a model for the zero-inflation parameter. See the package documentation for details.References