coef.ebnm               Extract posterior means from a fitted EBNM
                        model
confint.ebnm            Obtain credible intervals using a fitted EBNM
                        model
ebnm                    Solve the EBNM problem
ebnm_add_sampler        Add sampler to an ebnm_object
ebnm_ash                Solve the EBNM problem using an ash family of
                        distributions
ebnm_check_fn           Check a custom ebnm function
ebnm_deconvolver        Solve the EBNM problem using the "deconvolveR"
                        family of distributions
ebnm_flat               Solve the EBNM problem using a flat prior
ebnm_generalized_binary
                        Solve the EBNM problem using generalized binary
                        priors
ebnm_group              Solve the EBNM problem for grouped data
ebnm_horseshoe          Solve the EBNM problem using horseshoe priors
ebnm_normal             Solve the EBNM problem using normal priors
ebnm_normal_scale_mixture
                        Solve the EBNM problem using scale mixtures of
                        normals
ebnm_npmle              Solve the EBNM problem using the family of all
                        distributions
ebnm_point_exponential
                        Solve the EBNM problem using point-exponential
                        priors
ebnm_point_laplace      Solve the EBNM problem using point-Laplace
                        priors
ebnm_point_mass         Solve the EBNM problem using a point mass prior
ebnm_point_normal       Solve the EBNM problem using point-normal
                        priors
ebnm_scale_normalmix    Set scale parameter for scale mixtures of
                        normals
ebnm_scale_npmle        Set scale parameter for NPMLE and deconvolveR
                        prior family
ebnm_scale_unimix       Set scale parameter for nonparametric unimodal
                        prior families
ebnm_unimodal           Solve the EBNM problem using unimodal
                        distributions
ebnm_unimodal_nonnegative
                        Solve the EBNM problem using unimodal
                        nonnegative distributions
ebnm_unimodal_nonpositive
                        Solve the EBNM problem using unimodal
                        nonpositive distributions
ebnm_unimodal_symmetric
                        Solve the EBNM problem using symmetric unimodal
                        distributions
fitted.ebnm             Extract posterior estimates from a fitted EBNM
                        model
gammamix                Constructor for gammamix class
horseshoe               Constructor for horseshoe class
laplacemix              Constructor for laplacemix class
logLik.ebnm             Extract the log likelihood from a fitted EBNM
                        model
nobs.ebnm               Get the number of observations used to fit an
                        EBNM model
plot.ebnm               Plot an ebnm object
predict.ebnm            Use the estimated prior from a fitted EBNM
                        model to solve the EBNM problem for new data
print.ebnm              Print an ebnm object
print.summary.ebnm      Print a summary.ebnm object
quantile.ebnm           Obtain posterior quantiles using a fitted EBNM
                        model
residuals.ebnm          Calculate residuals for a fitted EBNM model
simulate.ebnm           Sample from the posterior of a fitted EBNM
                        model
summary.ebnm            Summarize an ebnm object
vcov.ebnm               Extract posterior variances from a fitted EBNM
                        model
wOBA                    2022 MLB wOBA Data
