| npmr-package | Nuclear penalized multinomial regression |
| cv.npmr | Cross-validated nuclear penalized multinomial regression |
| logL | Log-likelihood for multinomial regression model |
| npmr | Nuclear penalized multinomial regression |
| nuclear | Nuclear norm of a matrix |
| objective | NPMR objective function |
| objectiveFast | Shortcut computation for NPMR objective function |
| PGDnpmr | Proximal gradient descent for nuclear penalized multinomial regression |
| plot.cv.npmr | Visualize the regression coefficient matrix fit by cross-validated NPMR |
| plot.npmr | Visualize the regression coefficient matrix fit by cross-validated NPMR |
| predict.cv.npmr | Make predictions from a "cv.npmr" object |
| predict.npmr | Make predictions from a "npmr" object |
| print.cv.npmr | summarize a "cv.npmr" object |
| print.npmr | Summarize a "npmr" object |
| prox | Proximal operator for nuclear norm |
| Vowel | Vowel Recognition |