Mixed Poisson Regression for Overdispersed Count Data
Augment data with information from a mixpoissonreg object
Autoplot Method for mixpoissonreg Objects
Coef Method for mixpoissonreg Objects.
Fitted Method for mixpoissonreg Objects
Glance at a mixpoissonreg object
Global Influence Diagnostics for Mixed Poisson Regression Models
Local Influence Diagnostics for Mixed Poisson Regression Models
Local Influence Diagnostics
Local Influence Autoplots for mixpoissonreg Objects
Local Influence Plot Diagnostics for Mixed Poisson Regression Models
logLik Method for mixpoissonreg Objects
Mixed Poisson Regression for Overdispersed Count Data
Maximum Likelihood Mixed Poisson Regression Models for Overdispersed C...
Plot Diagnostics for mixpoissonreg Objects
Predict Method for mixpoissonreg Objects
Residuals Method for mixpoissonreg Objects
Summary Method for mixpoissonreg Objects.
Tidy a mixpoissonreg object
Tidy Functions for Local Influence Diagnostics for mixpoissonreg Obj...
Tidy Functions for Local Influence Diagnostics
Calculate Variance-Covariance Matrix for mixpoissonreg Objects
Fits mixed Poisson regression models (Poisson-Inverse Gaussian or Negative-Binomial) on data sets with response variables being count data. The models can have varying precision parameter, where a linear regression structure (through a link function) is assumed to hold on the precision parameter. The Expectation-Maximization algorithm for both these models (Poisson Inverse Gaussian and Negative Binomial) is an important contribution of this package. Another important feature of this package is the set of functions to perform global and local influence analysis. See Barreto-Souza and Simas (2016) <doi:10.1007/s11222-015-9601-6> for further details.
Useful links