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| TRES-package | Tensor Regression with Envelope Structure |
| bat | Bat simulated data |
| ECD | ECD algorithm for estimating the envelope subspace |
| EEG | Electroencephalography (EEG) dataset for alcoholism study. |
| FGfun | The Objective function and its gradient |
| kroncov | The covariance estimation of tensor normal distribution |
| manifold1D | Estimate the envelope subspace ('ManifoldOptim' 1D) |
| manifoldFG | Estimate the envelope subspace ('ManifoldOptim' FG) |
| MenvU_sim | Generate matrices M and U |
| oneD_bic | Envelope dimension selection based on 1D-BIC |
| OptM1D | Estimate the envelope subspace ('OptM' 1D) |
| OptMFG | Estimate the envelope subspace ('OptM' FG) |
| OptStiefelGBB | Optimization on Stiefel manifold |
| plot.Tenv | Plot coefficients and p-value for Tenv object. |
| PMSE | Prediction and mean squared error. |
| predict.Tenv | Predict method for Tenv object. |
| print.summary.Tenv | Summarize method for Tenv object. |
| simplsMU | SIMPLS-type algorithm for estimating the envelope subspace |
| square | Square simulated data |
| std_err | Elementwise standard error. |
| subspace | The distance between two subspaces. |
| summary.Tenv | Summarize method for Tenv object. |
| Tenv_Pval | The p-value and standard error of coefficient in tensor response regression (TRR) model. |
| TPR | Tensor predictor regression |
| TPR.fit | Tensor predictor regression |
| TPRdim | Envelope dimension by cross-validation for tensor predictor regression (TPR). |
| TPRsim | Generate simulation data for tensor predictor regression (TPR) |
| TRES | Tensor Regression with Envelope Structure |
| TRR | Tensor response regression |
| TRR.fit | Tensor response regression |
| TRRdim | Envelope dimension selection for tensor response regression (TRR) |
| TRRsim | Generate simulation data for tensor response regression (TRR) |
| ttt | Matrix product of two tensors |