Learn R Programming

dma (version 1.4-0)

dma-package: Dynamic model averaging

Description

This package implements dynamic Bayesian model averaging as described for continuous outcomes in Raftery et al. (2010, Technometrics) and for binary outcomes in McCormick et al. (2011, Biometrics).

Arguments

Details

Package: dma
Type: Package
Version: 1.4-0
Date: 2018-10-4
License: GPL2

References

McCormick, T.M., Raftery, A.E., Madigan, D. and Burd, R.S. (2011) "Dynamic Logistic Regression and Dynamic Model Averaging for Binary Classification." Biometrics, 66:1162-1173.

Raftery, A.E., Karny, M., and Ettler, P. (2010). Online Prediction Under Model Uncertainty Via Dynamic Model Averaging: Application to a Cold Rolling Mill. Technometrics 52:52-66.