Mean and Variance Modeling of Count Data
Extraction of model coefficients for CountsEPPM Objects
Cook's distance for CountsEPPM Objects
Fitting of EPPM models to count and binary data.
Fitting of EPPM models to count data.
Calculation of vector of probabilities for a extended Poisson process ...
Calculation of vector of probabilities for a Faddy distribution.
Calculation of vector of probabilities for the limiting form of the Fa...
Extraction of fitted values from CountsEPPM Objects
Extraction of hat matrix values from CountsEPPM Objects
Function used to calculate the first derivatives of the log likelihood...
Function called by optim to calculate the log likelihood from the prob...
Method for CountsEPPM object
Probabilities for distributions truncated on the left (lower) and/or r...
Function for obtaining output from distributional models.
Function for Faddy distribution with log link.
Function for a general Faddy distribution modeled by means and scale-f...
Function to fit the limiting form of a Faddy distribution for under-di...
Diagnostic Plots for CountsEPPM Objects
Prediction Method for CountsEPPM Objects
Printing of CountsEPPM Objects
Printing of summaryCountsEPPM Objects
Residuals for CountsEPPM Objects
Method for CountsEPPM object
Variance/Covariance Matrix for Coefficients
Wald Test of Nested Models for CountsEPPM Objects
Modeling under- and over-dispersed count data using extended Poisson process models as in the article Faddy and Smith (2011) <doi:10.18637/jss.v069.i06> .