Mean and Variance Modeling of Binary Data

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Documentation for package ‘BinaryEPPM’ version 2.3

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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.