disjointTheta

<p>A set of \(\Theta\) values that have a bimodal distribution for testing</p>

data

Empirical Bayes methods for learning prior distributions from data.
An unknown prior distribution (g) has yielded (unobservable) parameters, each of
which produces a data point from a parametric exponential family (f). The goal
is to estimate the unknown prior ("g-modeling") by deconvolution and Empirical
Bayes methods. Details and examples are in the paper by Narasimhan and Efron
(2020, <doi:10.18637/jss.v094.i11>).

Balasubramanian Narasimhan

deconvolveR

disjointTheta: A set of \(\Theta\) values that have a bimodal distribution for testing

Description

Usage

Arguments