Mean and Variance Modeling of Count Data

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Documentation for package ‘CountsEPPM’ version 2.1

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CountsEPPM-package Fitting of EPPM models to count and binary data.
ceriodaphnia.group Ceriodaphnia data
CountsEPPM Fitting of EPPM models to count data.
distribution.CountsEPPM Produce summary distributional information for fitted model.
EPPMprob Calculation of vector of probabilities for a extended Poisson process model (EPPM).
F.Regression.Counts Function called by optim or LL.Regression.Counts for calling by nlm to perform the fitting of the regression models to the count data.
Faddyprob.general Calculation of vector of probabilities for a Faddy distribution.
Faddyprob.limiting Calculation of vector of probabilities for the limiting form of the Faddy distribution.
herons.group Green-backed herons as two groups
LL.Regression.Counts Function called by nlm to perform the fitting of the regression models to the count data. It includes within it a call to LL.Regression.Counts which function it is almost the same as except for the calculation and output of gradients from the package numDeriv.
logLik.CountsEPPM Method for CountsEPPM object
LRTruncation Probabilities for distributions truncated on the left (lower) and/or right (upper).
Luningetal.litters Number of trials (implantations) in data of Luning, et al. (1966)
Model.Counts Function for obtaining output from distributional models.
Model.Faddy Function for Faddy distribution with log link.
Model.FaddyJMV.general Function for a general Faddy distribution modeled by means and variances.
Model.FaddyJMV.limiting Function to fit the limiting form of a Faddy distribution for under-dispersed counts.
summary.CountsEPPM Method for CountsEPPM object
takeover.bids.case Takeover bids data.
Titanic.survivors.case Titanic survivors data
Williams.litters Number of trials (implantations) of data of Williams (1996).