Solve the Empirical Bayes Normal Means Problem

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Documentation for package ‘ebnm’ version 1.1-2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.

Help Pages

coef.ebnm	Extract posterior means from a fitted EBNM model
confint.ebnm	Obtain confidence 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_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_output_all	Solve the EBNM problem
ebnm_output_default	Solve the EBNM problem
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
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