Beta                    Beta distribution declaration
Covariance              R6 Class representing a covariance function and
                        data
MeanFunction            For the generalised linear mixed model
Model                   A GLMM Model
Quantile                Family declaration to support quantile
                        regression
Salamanders             Salamanders data
SimGeospat              Simulated data from a geospatial study with
                        continuous outcomes
SimTrial                Simulated data from a stepped-wedge cluster
                        trial
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
exponential             Exponential distribution declaration
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       Monte Carlo Maximum Likelihood and Analysis of
                        Generalised Linear Mixed Models
hessian_from_formula    Automatic differentiation of formulae
hsgp_rescale            Rescales data to [-1,1]
lme4_to_glmmr           Map lme4 formula to glmmrBase formula
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
mcml_glmer              lme4 style generalized linear mixed model
mcml_lmer               lme4 style linear mixed model
mcnr_family             Returns the file name and type for MCNR
                        function
mesh_helper             Generates the required mesh data from fmesher
                        for SPDE approximations
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
