Man pages for kusakehan/TEReg
An R package for tensor envelope regression with tensor response and tensor predictor
| ballGBB1D_bic | Envelope dimension selection based on 1D-BIC |
| ECD | ECD algorithm for estimating the envelope subspace |
| EnvMU | Estimate envelope subspace basis |
| FGfun | The Objective function and its gradient |
| fun1D | The 1D objective function and its gradient |
| get_ini1D | Initial value for 1D algorithm |
| kroncov | The covariance estimation of a tensor random variable |
| manifold1D | Estimate the envelope subspace (ManifoldOptim 1D) |
| manifoldFG | Full Grassmann manifold optimization algorithm... |
| OptimballGBB1D | Estimate the envelope subspace (Feasi 1D) |
| OptManiMulitBallGBB | Line search algorithm for optimization on manifold |
| OptStiefelGBB | Optimization on Stiefel manifold (GBB) |
| PMSE | Predictions and Mean squared error |
| TensEnv_dim | Envelope dimension selection for tensor response regression |
| TensPLS_cv2d3d | Envelope dimension by cross-validation |
| TensPLS_fit | Tensor envelope partial least squares (PLS) regression |
| Tenv | Tensor response envelope estimator |
| Tenv_Pval | The p-values of each elements in the tensor regression... |
| ttt | Inner product of tensor X and Y |
