DS.posterior.reduce {BayesGOF} | R Documentation |
Posterior Expectation and Modes of DS object
Description
A function that determines the posterior expectations 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 matrix with the columns indicating PEB mean, DS mean, PEB mode, and DS modes for
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]