compute_fssd_null_pvalue
                        Simulate the FSSD null distribution
compute_fssd_unbiased_stat
                        Estimate squared FSSD from a feature matrix
compute_tau             Compute the FSSD feature matrix
custom_adjusted_gradient
                        Apply a custom SVGD direction adjustment
custom_stein_kernel     Create a custom Stein kernel
find_median_distance    Median squared distance between sample pairs
fmin_grid               Create the grid search used by Stein Points
fmin_mc                 Create the Monte Carlo search used by Stein
                        Points
fmin_nm                 Create the multi-start Nelder-Mead search used
                        by Stein Points
fssd_opt_test           FSSD test with optimized test locations
fssd_rand_test          FSSD test with random test locations
fssd_test               Finite Set Stein Discrepancy goodness-of-fit
                        test
get_score_evaluator     Create a score function for a fixed Gaussian
                        mixture model
gmm                     Create a Gaussian mixture model
grw                     Run the Gaussian random-walk transition used by
                        SP-MCMC
grwmetrop               Run a Gaussian random-walk Metropolis chain
kernel_generics         Building blocks for Stein kernels
ksd_u_bootstrap         Bootstrap the KSD U-statistic from a
                        Stein-kernel matrix
ksd_u_statistic         Compute the KSD U-statistic from its
                        Stein-kernel matrix
ksd_u_test              KSD goodness-of-fit test using the Liu et al.
                        U-statistic
ksd_uq_matrix           Build the Stein-kernel matrix for the KSD
                        U-statistic
ksd_v_bootstrap         Wild-bootstrap the KSD V-statistic
ksd_v_statistic         Compute the KSD V-statistic from its
                        Stein-kernel matrix
ksd_v_test              KSD goodness-of-fit test using the Chwialkowski
                        et al. V-statistic
ksd_vq_matrix           Build the Stein-kernel matrix for the KSD
                        V-statistic
likelihoodgmm           Compute the mixture density for samples
mala                    Run a Metropolis-adjusted Langevin chain
perturbgmm              Perturb the component means of a Gaussian
                        mixture model
plotgmm                 Plot a one-dimensional Gaussian mixture sample
posteriorgmm            Compute posterior component probabilities for a
                        Gaussian mixture
rgmm                    Sample from a Gaussian mixture model
rwm                     Alias for the Gaussian random-walk transition
scorefunctiongmm        Compute the score of a Gaussian mixture density
sp_mcmc                 Generate Stein Points from short MCMC candidate
                        paths
sp_mcmc_criterion       Create an SP-MCMC start-point rule
sp_mcmc_eval_candidates
                        Score SP-MCMC candidate points
sp_mcmc_select_start    Choose the next SP-MCMC chain start
sp_mcmc_state           Store the current SP-MCMC state for a start
                        rule
stein_codescent         Refine Stein Points by coordinate descent
stein_kernel            Create a built-in Stein kernel
stein_kernel_imq_score
                        Create a score-distance IMQ Stein kernel
stein_kernel_inverse_log
                        Create an inverse-log Stein kernel
stein_kernel_matrix     Compute pairwise Stein kernel values
stein_points            Build a Stein Points sequence by greedy KSD
                        minimization
stein_thinning          Compress existing samples with Stein thinning
steinsampling-package   steinsampling: Stein tests and Stein sampling
                        tools
svgd                    Create an SVGD updater
update_svgd             Run SVGD particle updates
