Man pages for smde
Sparse Multivariate Differential Equations
| coordinateDescent | l1-penalized least squares coordinate descent |
| coordinateDescentMF | l1-penalized matrix free least squares coordinate descent |
| coordinateDescentQuad | l1-penalized coordinate descent |
| dfEff | Effective degrees of freedom. |
| dfEffec | Computation of effective degrees of freedom. |
| dim | Dimensions of multivariate model |
| dpredict | Derivative of the predictor |
| fit | Fitting a multivariate process model |
| grad | Computation of the gradient of the loss function |
| loss | Computation of the squared error loss function |
| multModel | Multivariate process models constructor |
| penalty | Weighted l1-norm |
| predict.multModel | Prediction for multivariate models |
| progressBar | Yet another progress bar |
| response | Returns the response |
| risk | Computation of the squared error risk. |
| riskHat | Estimation of the risk. |
| smde | Sparse Multivariate Differential Equations |
| stepOptim | Stepwise optimization |
