ModelMCML               Extension to the Model class to use Markov
                        Chain Monte Carlo Maximum Likelihood
aic_mcml                Calculates the conditional Akaike Information
                        Criterion for the GLMM
gen_u_samples           Generate samples of random effects using MCMC
glmmrMCML-package       Markov Chain Monte Carlo Maximum Likelihood for
                        Generalised Linear Mixed Models
mcmc_sample             Hamiltonian Monte Carlo Sampler for Model
                        Random Effects
mcml_full               Markov Chain Monte Carlo Maximum Likelihood
                        Algorithm
mcml_hess               Generate Hessian matrix of GLMM
mcml_hess_sparse        Generate Hessian matrix of GLMM using sparse
                        matrix methods
mcml_la                 Maximum Likelihood with Laplace Approximation
                        and Derivative Free Optimisation
mcml_la_nr              Maximum Likelihood with Laplace Approximation
                        and Newton-Raphson
mcml_optim              Likelihood maximisation for the GLMM
mcml_optim_sparse       Likelihood maximisation for the GLMM using
                        sparse matrix methods
mcml_simlik             Simulated likelihood optimisation step for MCML
mcml_simlik_sparse      Simulated likelihood optimisation step for MCML
                        using sparse matrix methods
mcnr_family             Returns the file name and type for MCNR
                        function
mvn_ll                  Multivariate normal log likelihood
print.mcml              Prints an mcml fit output
summary.mcml            Summarises an mcml fit output
