bardWordCount

<p>Shakespeare word counts in the entire canon: 14,376 distinct words
appeared exactly once, 4343 words appeared twice etc.</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

bardWordCount: Shakespeare word counts in the entire canon: 14,376 distinct words appeared exactly once, 4343 words appeared twice etc.

Description

Usage

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References