Beta                    Beta distribution declaration
Covariance              R6 Class representing a covariance function and
                        data
MeanFunction            R6 Class representing a mean function/linear
                        predictor
Model                   A GLMM Model
coef.Model              Extracts coefficients from a Model object
coef.mcml               Extracts fixed effect coefficients from a mcml
                        object
confint.mcml            Fixed effect confidence intervals for a 'mcml'
                        object
cross_df                Generate crossed block structure
cycles                  Generates all the orderings of a
family.Model            Extracts the family from a 'Model' object. This
                        information can also be accessed directly from
                        the Model as 'Model$family'
family.mcml             Extracts the family from a 'mcml' object.
fitted.Model            Extract or generate fitted values from a
                        'Model' object
fitted.mcml             Fitted values from a 'mcml' object
fixed.effects           Extracts the fixed effect estimates
formula.Model           Extracts the formula from a 'Model' object
formula.mcml            Extracts the formula from a 'mcml' object.
glmmrBase-package       Generalised Linear Mixed Models in R
logLik.Model            Extracts the log-likelihood from an mcml object
logLik.mcml             Extracts the log-likelihood from an mcml object
match_rows              Generate matrix mapping between data frames
mcnr_family             Returns the file name and type for MCNR
                        function
nelder                  Generates a block experimental structure using
                        Nelder's formula
nest_df                 Generate nested block structure
predict.Model           Generate predictions at new values from a
                        'Model' object
predict.mcml            Predict from a 'mcml' object
print.mcml              Prints an mcml fit output
progress_bar            Generates a progress bar
random.effects          Extracts the random effect estimates
residuals.Model         Extract residuals from a 'Model' object
residuals.mcml          Residuals method for a 'mcml' object
setParallel             Disable or enable parallelised computing
summary.Model           Summarizes a 'Model' object
summary.mcml            Summarises an mcml fit output
vcov.Model              Calculate Variance-Covariance matrix for a
                        'Model' object
vcov.mcml               Extract the Variance-Covariance matrix for a
                        'mcml' object
yexample312a            Data for first example in Section 3.12 of JSS
                        paper
yexample312b            Data for second example in Section 3.12 of JSS
                        paper
yexample312c            Data for third example in Section 3.12 of JSS
                        paper
ytest1                  Data for model tests
