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
attenuate_xb            Return marginal expectation with attenuation
cross_df                Generate crossed block structure
cycles                  Generates all the orderings of a
dfactor                 Factor function
dfexp                   Exponential function
didentity               Identity function
genCholD                Generates the Cholesky decomposition covariance
                        matrix of the random effects
genD                    Generates the covariance matrix of the random
                        effects
gen_dhdmu               Generates the inverse GLM iterated weights.
gen_sigma_approx        Generates an approximation to the covariance of
                        y
glmmrBase-package       Specification of Generalised Linear Mixed
                        Models
match_rows              Generate matrix mapping between data frames
nelder                  Generates a block experimental structure using
                        Nelder's formula
nest_df                 Generate nested block structure
parallel_crt            Generate a parallel cluster design
progress_bar            Generates a progress bar
sample_re               Generates a sample of random effects
staircase_crt           Generate a staircase/diagonal trial design
stepped_wedge           Generate a stepped-wedge design
