post.rep: Posterior Predictive Data Replications

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

Posterior Predictive Data Replications

Description

This function creates a list of replicated data for posterior predictive checking as described in Myers et al. (2011).

Usage

post.rep(model, dat)

Arguments

model	an object of class "mederrFit".
dat	an object of class "mederrData".

Details

For further details see Myers et al. (2011).

Value

post.rep returns a list of replicated data.

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, p.value.

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