BinaryEPPM-package | Mean and Variance Modeling of 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 |

foodstamp.case | Participation in the federal food stamp program. |

foodstamp.grouped | Participation in the federal food stamp program as a list not a data frame. |

GasolineYield | Data on gasoline yields. |

GBprob | Calculation of vector of probabilities for the generalized binomial distribution. |

hatvalues.BinaryEPPM | Extraction of hat matrix values from BinaryEPPM Objects |

Hiroshima.case | Individual case data of chromosome aberrations in survivors of Hiroshima. |

Hiroshima.grouped | Data of chromosome aberrations in survivors of Hiroshima grouped into dose ranges and represented as frequency distributions. |

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 |

Luningetal.litters | Number of trials (implantations) in data of Luning, et al., (1966) |

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 generalized binomial distributions given p's and b. |

Model.JMVGB | Probabilities for generalized 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 |

Titanic.survivors.case | Individual case data of Titanic survivors |

Titanic.survivors.grouped | Titanic survivors data in frequency distribution form. |

vcov.BinaryEPPM | Variance/Covariance Matrix for Coefficients |

waldtest.BinaryEPPM | Wald Test of Nested Models for BinaryEPPM Objects |

Williams.litters | Number of implantations, data of Williams (1996). |

Yorkshires.litters | The data are of the number of male piglets born in litters of varying sizes for the Yorkshire breed of pigs. |