DS.posterior.reduce {BayesGOF}R Documentation

Posterior Expectation and Modes of DS object

Description

A function that determines the posterior expectations E(θ0y0)E(\theta_0 | y_0) and posterior modes for a set of observed data.

Usage

DS.posterior.reduce(DS.GF.obj, exposure)

Arguments

DS.GF.obj

Object resulting from running DS.prior function on a data set.

exposure

In the case of the Poisson family with exposure, represents the exposure values for the count data.

Value

Returns k×4k \times 4 matrix with the columns indicating PEB mean, DS mean, PEB mode, and DS modes for kk observations in the data set.

Author(s)

Doug Fletcher

References

Mukhopadhyay, S. and Fletcher, D., 2018. "Generalized Empirical Bayes via Frequentist Goodness of Fit," Nature Scientific Reports, 8(1), p.9983, https://www.nature.com/articles/s41598-018-28130-5.

Examples

data(rat)
rat.start <- gMLE.bb(rat$y, rat$n)$estimate
rat.ds <- DS.prior(rat, max.m = 4, rat.start, family = "Binomial")
DS.posterior.reduce(rat.ds)

[Package BayesGOF version 5.2 Index]