Skip to contents

All functions

AIC(<bellreg>)
Akaike information criterion
AIC(<zibellreg>)
Akaike information criterion for zibellreg objects
dbell() pbell() qbell() rbell()
Probability function, distribution function, quantile function and random generation for the Bell distribution with parameter theta.
anova(<zibellreg>)
anova method for zibellreg models
bell()
Family Objects for Models
bellreg-package BellReg
The 'bellreg' package.
bellreg()
Bell regression model
cells
Cells data set
coef(<bellreg>)
Estimated regression coefficients for the bellreg model
coef(<zibellreg>)
Estimated regression coefficients for zibellreg model
confint(<bellreg>)
Confidence intervals for the regression coefficients
confint(<zibellreg>)
Confidence intervals for the regression coefficients
dtpois() ptpois() qtpois() rtpois()
The Truncated Poisson Distribution
recover_data(<bellreg>) recover_data(<zibellreg>)
Support Functions for emmeans
extract_log_lik()
Extract pointwise log-likelihood from a Stan model for a bellreg model
faults
Faults data set
fitted(<bellreg>)
Extract Model Fitted Values
logLik(<bellreg>)
Extract Log-Likelihood from a Fitted Model
logLik(<zibellreg>)
Extract Log-Likelihood from a Fitted Model
model.matrix(<zibellreg>)
Construct Design Matrices for zibellreg models
print(<summary.bellreg>)
Print the summary.bellreg output
print(<summary.zibellreg>)
Print the summary.zibellreg output
prior_spec()
Prior specification
summary(<bellreg>)
Summary for the bellreg model
summary(<zibellreg>)
Summary for the zibellreg model
tidy(<bellreg>)
Tidy a bellreg object
tidy(<zibellreg>)
Tidy a zibellreg object
vcov(<bellreg>)
Variance-covariance matrix for a bellreg model
vcov(<zibellreg>)
Covariance of the regression coefficients
zibellreg()
ZiBell regression model