QUAD_RULE_BASE          Base class for nimble function list quadrature
                        rules.
approxSummary           Main class for nested approximation information
buildLaplace            Laplace approximation and adaptive
                        Gauss-Hermite quadrature
buildNestedApprox       Build Nested Bayesian Approximation Using
                        Quadrature-based Methods
calcMarginalLogLikImproved
                        Calculate improved marginal log-likelihood
                        using grid-based quadrature
configureQuadGrid       Configure Quadrature Grids
dmarginal               Evaluate the marginal posterior density for a
                        parameter.
drop_algorithm          Drop Algorithm to generate permutations of
                        dimension d with a fixed sum.
emarginal               Compute the expectation of a function of a
                        parameter under the marginal posterior
                        distribution
improveParamMarginals   Improve univariate parameter marginals using
                        grid-based quadrature
logSumExp               Log sum exponential.
plotMarginal            Plot the marginal posterior for a parameter
qmarginal               Compute quantiles for a parameter
quadGH                  Gauss-Hermite Quadrature Points in one
                        dimension
quadGridCache           Caching system for building multiple quadrature
                        grids.
quadRule_CCD            Central Composite Design (CCD) used for
                        approximate posterior distributions.
quadRule_GH             Gauss-Hermite Quadrature Rule for Laplace and
                        Approx Posteriors
rmarginal               Draw random samples from the marginal posterior
                        of a parameter
runLaplace              Combine steps of running Laplace or adaptive
                        Gauss-Hermite quadrature approximation
runNestedApprox         Run a nested approximation, returning a summary
                        object with default inference
sampleLatents           Sample from the posterior distribution of the
                        latent nodes
sampleParams            Sample from the parameter posterior
                        distribution
setParamGrid            Set the parameter grid for the nested
                        approximation
summaryLaplace          Summarize results from Laplace or adaptive
                        Gauss-Hermite quadrature approximation
