| dma-package | Dynamic model averaging | 
| coef.dma | Dynamic model averaging for continuous outcomes | 
| dlogr.init | Dynamic model averaging for binary outcomes | 
| dlogr.predict | Dynamic model averaging for binary outcomes | 
| dlogr.step | Dynamic model averaging for binary outcomes | 
| dma | Dynamic model averaging for continuous outcomes | 
| dma.default | Dynamic model averaging for continuous outcomes | 
| laplace.fn | Dynamic model averaging for binary outcomes | 
| logdma.average | Dynamic model averaging for binary outcomes | 
| logdma.init | Dynamic model averaging for binary outcomes | 
| logdma.predict | Dynamic model averaging for binary outcomes | 
| logdma.update | Dynamic model averaging for binary outcomes | 
| logistic.dma | Dynamic model averaging for binary outcomes | 
| logistic.dma.default | Dynamic model averaging for binary outcomes | 
| makf4 | Dynamic model averaging for continuous outcomes | 
| model.update3 | Dynamic model averaging for continuous outcomes | 
| plot.dma | Dynamic model averaging for continuous outcomes | 
| plot.logistic.dma | Dynamic model averaging for binary outcomes | 
| print.dma | Dynamic model averaging for continuous outcomes | 
| print.logistic.dma | Dynamic model averaging for binary outcomes | 
| rm.Kalman | Dynamic model averaging for continuous outcomes | 
| tunemat.fn | Dynamic model averaging for binary outcomes |