predict.ebnm: Use the estimated prior from a fitted EBNM model to solve the...

In ebnm: Solve the Empirical Bayes Normal Means Problem

Use the estimated prior from a fitted EBNM model to solve the EBNM problem for new data

Description

The predict method for class ebnm.

Usage

## S3 method for class 'ebnm'
predict(object, newdata, s = 1, ...)

Arguments

object	The fitted ebnm object.
newdata	A vector of new observations. Missing observations (NAs) are not allowed.
s	A vector of standard errors (or a scalar if all are equal). Standard errors may not be exactly zero, and missing standard errors are not allowed. Two prior families have additional restrictions: when horseshoe priors are used, errors must be homoskedastic; and since function deconv in package deconvolveR takes z-scores, the "deconvolver" family requires that all standard errors be equal to 1.
...	Not used. Included for consistency as an S3 method.

Value

A data frame that includes posterior means, posterior standard deviations, and local false sign rates for the observations in newdata.

ebnm documentation built on Sept. 11, 2025, 1:07 a.m.