ebnm1.1-42 package

Extract posterior means from a fitted EBNM model

Obtain credible intervals using a fitted EBNM model

Add sampler to an ebnm_object

Solve the EBNM problem using an ash family of distributions

Check a custom ebnm function

Solve the EBNM problem using the "deconvolveR" family of distributions

Solve the EBNM problem using a flat prior

Solve the EBNM problem using generalized binary priors

Solve the EBNM problem for grouped data

Solve the EBNM problem using horseshoe priors

Solve the EBNM problem using scale mixtures of normals

Solve the EBNM problem using normal priors

Solve the EBNM problem using the family of all distributions

Solve the EBNM problem using point-exponential priors

Solve the EBNM problem using point-Laplace priors

Solve the EBNM problem using a point mass prior

Solve the EBNM problem using point-normal priors

Set scale parameter for scale mixtures of normals

Set scale parameter for NPMLE and deconvolveR prior family

Set scale parameter for nonparametric unimodal prior families

Solve the EBNM problem using unimodal nonnegative distributions

Solve the EBNM problem using unimodal nonpositive distributions

Solve the EBNM problem using symmetric unimodal distributions

Solve the EBNM problem using unimodal distributions

Solve the EBNM problem

Extract posterior estimates from a fitted EBNM model

Constructor for gammamix class

Constructor for horseshoe class

Constructor for laplacemix class

Extract the log likelihood from a fitted EBNM model

Get the number of observations used to fit an EBNM model

Plot an ebnm object

Use the estimated prior from a fitted EBNM model to solve the EBNM pro...

Print an ebnm object

Print a summary.ebnm object

Obtain posterior quantiles using a fitted EBNM model

Calculate residuals for a fitted EBNM model

Sample from the posterior of a fitted EBNM model

Summarize an ebnm object

Extract posterior variances from a fitted EBNM model