aghq                    Adaptive Gauss-Hermite Quadrature
compute_moment          Compute moments
compute_pdf_and_cdf     Density and Cumulative Distribution Function
compute_quantiles       Quantiles
correct_marginals       Correct the posterior marginals of a fitted
                        aghq object
default_control         Default control arguments for 'aghq::aghq()'.
default_control_marglaplace
                        Default control arguments for
                        'aghq::marginal_laplace()'.
default_control_tmb     Default control arguments for
                        'aghq::marginal_laplace_tmb()'.
default_transformation
                        Default transformation
gcdata                  Globular Clusters data for Milky Way mass
                        estimation
gcdatalist              Transformed Globular Clusters data
get_hessian             Obtain the Hessian from an aghq object
get_log_normconst       Obtain the log-normalizing constant from a
                        fitted quadrature object
get_mode                Obtain the mode from an aghq object
get_nodesandweights     Obtain the nodes and weights table from a
                        fitted quadrature object
get_numquadpoints       Obtain the number of quadrature nodes used from
                        an aghq object
get_opt_results         Obtain the optimization results from an aghq
                        object
get_param_dim           Obtain the parameter dimension from an aghq
                        object
interpolate_marginal_posterior
                        Interpolate the Marginal Posterior
laplace_approximation   Laplace Approximation
make_moment_function    Moments of Positive Functions
make_numeric_moment_function
                        Compute numeric moments
make_transformation     Marginal Parameter Transformations
marginal_laplace        Marginal Laplace approximation
marginal_laplace_tmb    AGHQ-normalized marginal Laplace approximation
                        from a TMB function template
marginal_posterior      Marginal Posteriors
nested_quadrature       Nested, sparse Gaussian quadrature in AGHQ
normalize_logpost       Normalize the joint posterior using AGHQ
optimize_theta          Obtain function information necessary for
                        performing quadrature
plot.aghq               Plot method for AGHQ objects
print.aghq              Print method for AGHQ objects
print.aghqsummary       Print method for AGHQ summary objects
print.laplace           Print method for AGHQ objects
print.laplacesummary    Print method for laplacesummary objects
print.marginallaplacesummary
                        Summary statistics for models using marginal
                        Laplace approximations
sample_marginal         Exact independent samples from an approximate
                        posterior distribution
summary.aghq            Summary statistics computed using AGHQ
summary.laplace         Summary method for Laplace Approximation
                        objects
summary.marginallaplace
                        Summary statistics for models using marginal
                        Laplace approximations
validate_control        Validate a control list
validate_moment         Validate a moment function object
validate_transformation
                        Validate a transformation object
