dma-package {dma} | R Documentation |
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).
Details
Package: | dma |
Type: | Package |
Version: | 1.4-0 |
Date: | 2018-10-4 |
License: | GPL2 |
Author(s)
Tyler H. McCormick, Adrian Raftery, David Madigan, Sevvandi Kandanaarachchi [ctb], Hana Sevcikova [ctb]
Maintainer: Hana Sevcikova <hanas@uw.edu>
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.
[Package dma version 1.4-0 Index]