R software for computing the prior effective sample size of a Bayesian normal linear or logistic regession model.
This is an R program that computes the effective sample size of a parametric prior,
as described in the paper “Determining the Effective Sample Size of a Parametric Prior” by Morita,
Thall and Muller (Biometrics 64, 595-602, 2008). Please read this paper carefully before using this computer program.
For questions or to request a reprint of the paper, please contact Satoshi Morita or Peter Thall.
Please see ReadMe_First for more
information concerning the operation of the R program.
Please see ESS_Method_ReadMe for more
information concerning the method used in the calculation.
Language: R (version 2.9.1)