InvGauss                Inverse Gaussian (Wald) distribution
InvGauss_gpd            Inverse Gaussian with a GPD tail
InvGauss_mix            Inverse Gaussian mixture distribution
InvGauss_mixgpd         Inverse Gaussian mixture with a GPD tail
amoroso                 Amoroso distribution
amoroso_gpd             Amoroso with a GPD tail
amoroso_lowercase       Lowercase vectorized Amoroso distribution
                        functions
amoroso_mix             Amoroso mixture distribution
amoroso_mixgpd          Amoroso mixture with a GPD tail
ate.causalmixgpd_causal_fit
                        Average treatment effects, marginal over the
                        empirical covariate distribution
ate_rmean               Restricted-mean ATE helper
att                     Average treatment effects standardized to
                        treated covariates
base_lowercase          Lowercase vectorized distribution functions
                        (base kernels)
build_causal_bundle     Build a causal bundle (design + two outcome
                        arms)
build_nimble_bundle     Build the explicit one-arm NIMBLE bundle
bundle                  Build the workflow bundle used by the package
                        fitters
cate.causalmixgpd_causal_fit
                        Conditional average treatment effects
cauchy                  Cauchy distribution
cauchy_mix              Cauchy mixture distribution
cauchy_mix_lowercase    Lowercase vectorized Cauchy mixture
                        distribution functions
causal_alt_pos500_p3_k3
                        Alternative Positive-Support Causal Data Set
                        With Three Predictors
causal_alt_pos500_p5_k4_tail
                        Alternative Positive-Support Tail Causal Data
                        Set With Five Predictors
causal_alt_real500_p4_k2
                        Alternative Real-Line Causal Data Set With Four
                        Predictors
causal_pos500_p3_k2     Positive-Support Causal Data Set With Three
                        Predictors
check_glue_validity     Validate bulk+tail glue for MixGPD predictive
                        distribution
cluster_profiles        Extract Cluster Profiles
cqte.causalmixgpd_causal_fit
                        Conditional quantile treatment effects
dpmgpd                  Fit a one-arm Dirichlet process mixture with a
                        spliced GPD tail
dpmgpd.causal           Fit a causal two-arm Dirichlet process mixture
                        with a spliced GPD tail
dpmgpd.cluster          Fit a clustering-only bulk-tail model
dpmix                   Fit a one-arm Dirichlet process mixture without
                        a GPD tail
dpmix.causal            Fit a causal two-arm Dirichlet process mixture
                        without a GPD tail
dpmix.cluster           Fit a clustering-only bulk model
ess_summary             Effective sample size summaries for fitted
                        models
fitted.mixgpd_fit       Fitted values on the training design
gamma_gpd               Gamma with a GPD tail
gamma_lowercase         Lowercase vectorized gamma distribution
                        functions
gamma_mix               Gamma mixture distribution
gamma_mixgpd            Gamma mixture with a GPD tail
get_kernel_registry     Get kernel registry
get_tail_registry       Get tail registry
gpd                     Generalized Pareto distribution
init_kernel_registry    Initialize kernel registries
invgauss_lowercase      Lowercase vectorized inverse Gaussian
                        distribution functions
kernel_support_table    Kernel support matrix
laplace_MixGpd          Laplace mixture with a GPD tail
laplace_gpd             Laplace with a GPD tail
laplace_lowercase       Lowercase vectorized Laplace distribution
                        functions
laplace_mix             Laplace (double exponential) mixture
                        distribution
lognormal_gpd           Lognormal with a GPD tail
lognormal_lowercase     Lowercase vectorized lognormal distribution
                        functions
lognormal_mix           Lognormal mixture distribution
lognormal_mixgpd        Lognormal mixture with a GPD tail
mcmc                    Run posterior sampling from a prepared bundle
nc_pos200_k3            Positive-Support Bulk-Only Data Set With Three
                        Components
nc_posX100_p3_k2        Positive-Support Covariate Data Set With Three
                        Predictors
nc_posX100_p4_k3        Positive-Support Covariate Data Set With Four
                        Predictors
nc_posX100_p5_k4        Positive-Support Covariate Data Set With Five
                        Predictors
nc_pos_tail200_k4       Positive-Support Tail Data Set With Four
                        Components
nc_real200_k2           Real-Line Bulk-Only Data Set With Two
                        Components
nc_realX100_p3_k2       Real-Line Covariate Data Set With Three
                        Predictors
nc_realX100_p5_k3       Real-Line Covariate Data Set With Five
                        Predictors
normal_gpd              Normal with a GPD tail
normal_lowercase        Lowercase vectorized normal distribution
                        functions
normal_mix              Normal mixture distribution
normal_mixgpd           Normal mixture with a GPD tail
params                  Extract posterior mean parameters in natural
                        shape
plot.causalmixgpd_causal_fit
                        Plot the treated and control outcome fits from
                        a causal model
plot.causalmixgpd_qte   Plot QTE-style effect summaries
plot.dpmixgpd_cluster_bundle
                        Plot a cluster bundle
plot.mixgpd_predict     Plot prediction results
predict.causalmixgpd_causal_fit
                        Predict arm-specific and contrast-scale
                        quantities from a causal fit
predict.dpmixgpd_cluster_fit
                        Predict labels or similarity matrices from a
                        cluster fit
predict.mixgpd_fit      Posterior predictive summaries from a fitted
                        one-arm model
print.causalmixgpd_ate
                        Print an ATE-style effect object
print.causalmixgpd_bundle
                        Print a one-arm workflow bundle
print.causalmixgpd_causal_bundle
                        Print a causal workflow bundle
print.causalmixgpd_causal_fit
                        Print a fitted causal model
print.causalmixgpd_causal_fit_plots
                        Print method for paired causal-fit diagnostic
                        plots
print.causalmixgpd_causal_predict_plots
                        Print method for causal prediction plots
print.causalmixgpd_ps_bundle
                        Print a propensity score bundle
print.causalmixgpd_ps_fit
                        Print a propensity score fit
print.causalmixgpd_qte
                        Print a QTE-style effect object
print.dpmixgpd_cluster_bundle
                        Print a cluster bundle
print.dpmixgpd_cluster_fit
                        Print a cluster fit
print.dpmixgpd_cluster_labels
                        Print cluster labels
print.dpmixgpd_cluster_psm
                        Print a cluster posterior similarity matrix
print.mixgpd_fit        Print a one-arm fitted model
print.mixgpd_fit_plots
                        Print method for mixgpd_fit diagnostic plots
print.mixgpd_fitted_plots
                        Print method for fitted value plots
print.mixgpd_predict    Print Prediction Results
print.mixgpd_predict_plots
                        Print method for prediction plots
print.mixgpd_summary    Print a MixGPD summary object
print.summary.causalmixgpd_ate
                        Print an ATE summary
print.summary.causalmixgpd_causal_fit
                        Print a causal-model summary object
print.summary.causalmixgpd_ps_fit
                        Print a propensity-score summary object
print.summary.causalmixgpd_qte
                        Print a QTE summary
qte.causalmixgpd_causal_fit
                        Quantile treatment effects, marginal over the
                        empirical covariate distribution
qtt                     Quantile treatment effects standardized to
                        treated covariates
residuals.mixgpd_fit    Residual diagnostics on the training design
run_mcmc_bundle_manual
                        Run posterior sampling for a prepared one-arm
                        bundle
run_mcmc_causal         Run posterior sampling for a causal bundle
sim_bulk_tail           Simulate positive bulk-tail data
sim_causal_qte          Simulate causal quantile-treatment-effect data
sim_survival_tail       Simulate censored survival-style tail data
summary.causalmixgpd_ate
                        Summarize an ATE-style effect object
summary.causalmixgpd_bundle
                        Summarize a one-arm workflow bundle
summary.causalmixgpd_causal_bundle
                        Summarize a causal workflow bundle
summary.causalmixgpd_causal_fit
                        Summarize a fitted causal model
summary.causalmixgpd_ps_fit
                        Summarize a propensity score fit
summary.causalmixgpd_qte
                        Summarize a QTE-style effect object
summary.dpmixgpd_cluster_bundle
                        Summarize a cluster bundle
summary.dpmixgpd_cluster_fit
                        Summarize a cluster fit
summary.dpmixgpd_cluster_labels
                        Summarize cluster labels
summary.dpmixgpd_cluster_psm
                        Summarize a cluster posterior similarity matrix
summary.mixgpd_fit      Summarize posterior draws from a one-arm fitted
                        model
