logunpost: Unnormalized Marginal Posterior Distributions for k and eta

In mederrRank: Bayesian Methods for Identifying the Most Harmful Medication Errors

Unnormalized Marginal Posterior Distributions for k and \eta

Description

This functions computes the unnormalized marginal posterior distributions for the k and \eta parameters as described in Myers et al (2011).

Usage

logunpost(resample)

Arguments

resample

an object of class "mederrResample".

Details

logunpost is used in the plot method for a mederrResample object.

Value

logunpost returns an array with the posterior distribution values.

Author(s)

Sergio Venturini [e-mail],

Jessica A. Myers [e-mail]

References

Myers, J. A., Venturini, S., Dominici, F. and Morlock, L. (2011), "Random Effects Models for Identifying the Most Harmful Medication Errors in a Large, Voluntary Reporting Database". Technical Report.

See Also

bhm.constr.resamp, bhm.mcmc, bhm.resample, mederrResample.

mederrRank documentation built on Sept. 8, 2023, 5:06 p.m.