| 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 |