R: Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data

# Mean and Scale-Factor Modeling of Under- And Over-Dispersed Binary Data

## Documentation for package ‘BinaryEPPM’ version 3.0

- DESCRIPTION file
- User guides, package vignettes and other documentation

## Help Pages

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.