| BinaryEPPM-package | Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data |
| BBprob | Calculation of vector of probabilities for the beta binomial distribution. |
| Berkshires.litters | The data are of the number of male piglets born in litters of varying sizes for the Berkshire breed of pigs. |
| BinaryEPPM | Fitting of EPPM models to binary data. |
| CBprob | Calculation of vector of probabilities for the correlated binomial distribution. |
| coef.BinaryEPPM | Extraction of model coefficients for BinaryEPPM Objects |
| cooks.distance.BinaryEPPM | Cook's distance for BinaryEPPM Objects |
| doubexp | Double exponential Link Function |
| doubrecip | Double reciprocal Link Function |
| EPPMprob | Calculation of vector of probabilities for a extended Poisson process model (EPPM). |
| fitted.BinaryEPPM | Extraction of fitted values from BinaryEPPM Objects |
| GBprob | Calculation of vector of probabilities for the EPPM binomial distribution. |
| hatvalues.BinaryEPPM | Extraction of hat matrix values from BinaryEPPM Objects |
| KupperHaseman.case | Kupper and Haseman example data |
| LL.gradient | Function used to calculate the first derivatives of the log likelihood with respect to the model parameters. |
| LL.Regression.Binary | Function called by optim to calculate the log likelihood from the probabilities and hence perform the fitting of regression models to the binary data. |
| logLik.BinaryEPPM | Extract Log-Likelihood |
| loglog | Log-log Link Function |
| Model.BCBinProb | Probabilities for beta and correlated binomial distributions given p's and scale-factors. |
| Model.Binary | Function for obtaining output from distributional models. |
| Model.GB | Probabilities for binomial and EPPM extended binomial distributions given p's and b. |
| Model.JMVGB | Probabilities for EPPM extended binomial distributions given p's and scale-factors. |
| negcomplog | Negative complementary log-log Link Function |
| Parkes.litters | The data are of the number of male piglets born in litters of varying sizes for the Parkes breed of pigs. |
| plot.BinaryEPPM | Diagnostic Plots for BinaryEPPM Objects |
| powerlogit | Power Logit Link Function |
| predict.BinaryEPPM | Prediction Method for BinaryEPPM Objects |
| print.BinaryEPPM | Printing of BinaryEPPM Objects |
| print.summaryBinaryEPPM | Printing of summaryBinaryEPPM Objects |
| residuals.BinaryEPPM | Residuals for BinaryEPPM Objects |
| ropespores.case | Dilution series for the presence of rope spores. |
| ropespores.grouped | Dilution series for the presence of rope spores. |
| summary.BinaryEPPM | Summary of BinaryEPPM Objects |
| vcov.BinaryEPPM | Variance/Covariance Matrix for Coefficients |
| waldtest.BinaryEPPM | Wald Test of Nested Models for BinaryEPPM Objects |
| wordcount.case | Number of occurences of an article in five-word and ten-word samples from two authors. |
| wordcount.grouped | Number of occurences of an article in five-word and ten-word samples from two authors. |
| Yorkshires.litters | The data are of the number of male piglets born in litters of varying sizes for the Yorkshire breed of pigs. |