| TRES-package | Tensor Regression with Envelope Structure and Three Generic Envelope Estimation Approaches |
| ballGBB1D_bic | Envelope dimension selection based on 1D-BIC |
| bat | Bat simulated data |
| ECD | ECD algorithm for estimating the envelope subspace |
| EEG | Electroencephalography (EEG) dataset for alcoholism study. |
| 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 | Estimate the envelope subspace (ManifoldOptim) |
| MenvU_sim | Generate sample estimator of 'M' and 'U' |
| OptimballGBB1D | Estimate the envelope subspace (Feasi 1D) |
| OptManiMulitBallGBB | Line search algorithm for optimization on manifold |
| OptStiefelGBB | Optimization on Stiefel manifold (GBB) |
| plot.Tenv | Plot coefficients and p-value for Tenv object. |
| PMSE | Predictions and Mean squared error for tensor predictor regression (TPR). |
| predict.Tenv | Predict method for Tenv object. |
| print.summary.Tenv | Summarize method for Tenv object. |
| square | Square simulated data |
| std_err | Extracting the standard error. |
| subspace | The distance between two subspaces. |
| summary.Tenv | Summarize method for Tenv object. |
| TensEnv_dim | Envelope dimension selection for tensor response regression (TRR) |
| TensPLS_cv2d3d | Envelope dimension by cross-validation for tensor predictor regression (TPR). |
| Tenv_Pval | The p-value and standard error of each element in the estimator of the tensor response regression (TRR) coefficient |
| TPR | Tensor predictor regression |
| TPR.fit | Tensor predictor regression |
| TPR_sim | Generate simulation data for tensor predictor regression (TPR) |
| TRES | Tensor Regression with Envelope Structure and Three Generic Envelope Estimation Approaches |
| TRR | Tensor response regression |
| TRR.fit | Tensor response regression |
| TRR_sim | Generate simulation data for tensor response regression (TRR) |
| ttt | Inner product of two tensors |