as_mids                 Convert imputations to a mice multiply-imputed
                        dataset
autoplot.gmm_fit        Plot a fitted Gaussian-mixture proxy
banana_target           Banana-shaped 2-D target
bic_aic                 Information criteria: BIC, AIC, and ICL
dgmm                    Density of a Gaussian mixture
donut_target            Donut-shaped 2-D target
epanechnikov_target     Compact-support Epanechnikov target
ess_summary             Summary of importance-sampling diagnostics
ess_trace               Effective sample size of the
                        importance-sampling weights
fit_em_samples          Classical EM fit on samples
fit_kld_em              Importance-sampled KLD-EM fit (regime iii)
fit_moment_match        Closed-form moment-matching fit
fit_proxymix            Fit a Gaussian-mixture proxy to a target
                        density
fit_uplift              Fit an uplift / next-best-action model from a
                        data frame
from_kde                Compile a kernel-density estimate into a
                        Gaussian-mixture proxy
from_objective          Map the optima of an objective with a
                        Gaussian-mixture proxy
glance.gmm_fit          Glance at a fitted Gaussian-mixture proxy
gmm                     A Gaussian mixture
gmm_affine              Affine pushforward of a Gaussian mixture
gmm_aggregate           Aggregation pushforward of a Gaussian mixture
gmm_anneal_path         Phase-transition component discovery by
                        deterministic annealing
gmm_canonicalise        Canonicalise the component ordering of a
                        Gaussian mixture
gmm_cf_mean             The identified counterfactual mean
gmm_cf_tail_prob        Refused: a tail probability of an individual
                        counterfactual law
gmm_cf_variance         Refused: the variance of an individual
                        counterfactual law
gmm_complete            Extract completed datasets from a
                        'gmm_imputation'
gmm_conditional_entropy
                        Renyi-2 or Shannon entropy of a conditional
                        Gaussian mixture
gmm_conditionalise      Conditional of a Gaussian mixture
gmm_convolve            Convolution of two independent Gaussian
                        mixtures
gmm_counterfactual      Counterfactual law of one unit (abduction,
                        action, prediction)
gmm_counterfactual_law
                        A per-unit counterfactual law
gmm_dim                 Dimension of a Gaussian mixture
gmm_divergence          Divergence between two Gaussian mixtures
gmm_entropy             Renyi-2 or Shannon entropy of a Gaussian
                        mixture
gmm_eos_test            End-of-sample instability test on a Gaussian
                        state-space filter
gmm_evidence            Estimate the target's normalising constant from
                        a fitted proxy
gmm_filter              Bounded Gaussian-sum filtering over an
                        observation series
gmm_fit                 A fitted Gaussian-mixture proxy
gmm_fit_ensemble        Bootstrap ensemble of a fitted proxy
gmm_fit_quality         The quality certificate of a fit or derived
                        mixture
gmm_imputation          A Gaussian-mixture multiple-imputation result
gmm_impute              Multiple imputation by Gaussian-mixture
                        conditioning
gmm_independence_graph
                        Conditional-independence (Gaussian graphical
                        model) structure of a mixture
gmm_intervene           Interventional law of a Gaussian mixture (the
                        do-operator)
gmm_kld                 Kullback-Leibler divergence between two
                        Gaussian mixtures
gmm_marginalise         Marginal of a Gaussian mixture
gmm_mean                Mean and covariance of a Gaussian mixture
gmm_missing             Condition a Gaussian mixture on the exact
                        values of some coordinates
gmm_mix                 Mix Gaussian mixtures into one mixture
gmm_modes               Modes of a Gaussian mixture
gmm_mutual_information
                        Cauchy-Schwarz mutual information between two
                        coordinate blocks
gmm_n_components        Number of components in a Gaussian mixture
gmm_observe             Bayesian update of a Gaussian mixture on a
                        noisy linear observation
gmm_product             Pointwise product of two Gaussian mixtures
gmm_reduce              Reduce a Gaussian mixture to fewer components
gmm_target              A target density on R^p
gmm_target_from_posterior
                        Compile an unnormalised Bayesian posterior into
                        a 'gmm_target'
gmm_target_from_samples
                        Build a target from samples alone
gmm_weights             Component parameters of a Gaussian mixture
hellinger_mc            Monte-Carlo Hellinger distance between a fit
                        and its target
init_kmeans             k-means initialisation
init_moment_seed        Moment-seed initialisation
init_random             Random initialisation
init_warm_start         Warm-start initialisation from an existing fit
is_mvn                  Multivariate-normal proposal
is_mvt                  Multivariate-t proposal
is_proposal             An importance-sampling proposal
is_uniform              Uniform-on-a-box proposal
kld_trace               Per-iteration KLD trace of a fit
maxent_target           Maximum-entropy target under moment and support
                        constraints
mechanism               Missingness mechanisms for multiple imputation
mixture_target          Three-component Gaussian-mixture target
multi_start_best_of     Multi-start best-of wrapper
pgmm                    Distribution and quantile functions of a
                        one-dimensional mixture
proposal_uniform        Preferred names for the importance-proposal
                        constructors
proxy_cate              Heterogeneous treatment effects (CATE / uplift)
proxy_confounding_gap   Confounding gap: the sensitivity of the effect
                        to the latent regime
proxy_decide            Optimal action and expected incremental value
                        per unit
proxy_fmi               Fraction of missing information for a column
                        mean
proxy_functional_ci     Percentile interval for any functional of a
                        fitted proxy
proxy_identification_report
                        The identification report (an executive
                        one-pager)
proxy_mnar_sensitivity
                        Missing-not-at-random sensitivity analysis for
                        a coordinate mean
proxy_overlap           Per-unit overlap / positivity diagnostic
proxy_policy_value      Off-line value of a targeting policy
proxy_pool              Pool a column mean across imputations
proxy_predict           Predicted outcome under a treatment (the seeing
                        rung)
proxy_regime_segments   The fitted regimes as an interpretable segment
                        table
proxy_retrospective_uplift
                        Retrospective (counterfactual-mean) uplift for
                        observed units
proxy_uplift            Uplift (alias of 'proxy_cate()' for a binary
                        treatment)
rgmm                    Sample from a Gaussian mixture
select_N                Select the number of mixture components
tidy.gmm                Tidy a Gaussian mixture into a component table
uplift_identification   Identification-report object
uplift_model            A fitted uplift / next-best-action model
