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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). |