Man pages for MixMatrix
Classification with Matrix Variate Normal and t Distributions
| ARgenerate | Generate a unit AR(1) covariance matrix |
| CSgenerate | Generate a compound symmetric correlation matrix |
| init_matrixmixture | Initializing settings for Matrix Mixture Models |
| matrixlda | LDA for matrix variate distributions |
| matrixmixture | Fit a matrix variate mixture model |
| matrixqda | Quadratic Discriminant Analysis for Matrix Variate... |
| MixMatrix-package | Classification with Matrix Variate Normal and t Distributions |
| MLmatrixnorm | Maximum likelihood estimation for matrix normal distributions |
| MLmatrixt | Maximum likelihood estimation for matrix variate t... |
| predict.matrixlda | Classify Matrix Variate Observations by Linear Discrimination |
| predict.matrixqda | Classify Matrix Variate Observations by Quadratic... |
| rmatrixinvt | Distribution functions for matrix variate inverted t... |
| rmatrixnorm | Matrix variate Normal distribution functions |
| rmatrixt | Distribution functions for the matrix variate t distribution. |
| vardet | Determinant selector for chosen covariance matrix. |
