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... |
get_mode | Obtain the mode from an aghq object |
get_nodesandweights | Obtain the nodes and weights table from a fitted quadrature... |
get_numquadpoints | Obtain the number of quadrature nodes used from an aghq... |
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... |
marginal_posterior | Marginal Posteriors |
nested | Nested, sparse Gaussian quadrature in AGHQ |
normalize_logpost | Normalize the joint posterior using AGHQ |
optimize_theta | Obtain function information necessary for performing... |
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... |
sample_marginal | Exact independent samples from an approximate posterior... |
summary.aghq | Summary statistics computed using AGHQ |
summary.laplace | Summary method for Laplace Approximation objects |
summary.marginallaplace | Summary statistics for models using marginal Laplace... |
validate_control | Validate a control list |
validate_moment | Validate a moment function object |
validate_transformation | Validate a transformation object |
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