Adaptive Gauss Hermite Quadrature for Bayesian Inference

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Documentation for package ‘aghq’ version 0.4.1

• DESCRIPTION file.
• Package NEWS.

Help Pages

adaptive_nested_quadrature	Nested, sparse Gaussian quadrature in AGHQ
aghq	Adaptive Gauss-Hermite Quadrature
compute_moment	Compute moments
compute_moment.aghq	Compute moments
compute_moment.default	Compute moments
compute_moment.list	Compute moments
compute_pdf_and_cdf	Density and Cumulative Distribution Function
compute_pdf_and_cdf.aghq	Density and Cumulative Distribution Function
compute_pdf_and_cdf.default	Density and Cumulative Distribution Function
compute_pdf_and_cdf.list	Density and Cumulative Distribution Function
compute_quantiles	Quantiles
compute_quantiles.aghq	Quantiles
compute_quantiles.default	Quantiles
compute_quantiles.list	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_log_normconst.aghq	Obtain the log-normalizing constant from a fitted quadrature object
get_log_normconst.default	Obtain the log-normalizing constant from a fitted quadrature object
get_log_normconst.laplace	Obtain the log-normalizing constant from a fitted quadrature object
get_log_normconst.marginallaplace	Obtain the log-normalizing constant from a fitted quadrature object
get_log_normconst.numeric	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_nodesandweights.aghq	Obtain the nodes and weights table from a fitted quadrature object
get_nodesandweights.data.frame	Obtain the nodes and weights table from a fitted quadrature object
get_nodesandweights.default	Obtain the nodes and weights table from a fitted quadrature object
get_nodesandweights.laplace	Obtain the nodes and weights table from a fitted quadrature object
get_nodesandweights.list	Obtain the nodes and weights table from a fitted quadrature object
get_nodesandweights.marginallaplace	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_opt_results.aghq	Obtain the optimization results from an aghq object
get_opt_results.marginallaplace	Obtain the optimization results from an aghq object
get_param_dim	Obtain the parameter dimension from an aghq object
get_param_dim.aghq	Obtain the parameter dimension from an aghq object
get_quadtable	Nested, sparse Gaussian quadrature in AGHQ
get_shift	Compute numeric moments
interpolate_marginal_posterior	Interpolate the Marginal Posterior
laplace_approximation	Laplace Approximation
make_moment_function	Moments of Positive Functions
make_moment_function.aghqmoment	Moments of Positive Functions
make_moment_function.aghqtrans	Moments of Positive Functions
make_moment_function.character	Moments of Positive Functions
make_moment_function.default	Moments of Positive Functions
make_moment_function.function	Moments of Positive Functions
make_moment_function.list	Moments of Positive Functions
make_numeric_moment_function	Compute numeric moments
make_transformation	Marginal Parameter Transformations
make_transformation.aghqtrans	Marginal Parameter Transformations
make_transformation.default	Marginal Parameter Transformations
make_transformation.list	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
marginal_posterior.aghq	Marginal Posteriors
marginal_posterior.list	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
sample_marginal.aghq	Exact independent samples from an approximate posterior distribution
sample_marginal.marginallaplace	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_moment.aghqmoment	Validate a moment function object
validate_moment.character	Validate a moment function object
validate_moment.default	Validate a moment function object
validate_moment.function	Validate a moment function object
validate_moment.list	Validate a moment function object
validate_transformation	Validate a transformation object
validate_transformation.aghqtrans	Validate a transformation object
validate_transformation.default	Validate a transformation object
validate_transformation.list	Validate a transformation object