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. |