Man pages for hdMTD
Inference for High-Dimensional Mixture Transition Distribution Models
| checkSample | Checks a sample |
| countsTab | Counts sequences of length d+1 in a sample |
| dTV_sample | The total variation distance between distributions |
| freqTab | A tibble containing sample sequence frequencies and estimated... |
| hdMTD | Inference in MTD models |
| hdMTD_BIC | The Bayesian Information Criterion (BIC) method for inference... |
| hdMTD_CUT | The CUT method for inference in MTD models |
| hdMTD_FS | The Forward Stepwise (FS) method for inference in MTD models |
| hdMTD_FSC | Forward Stepwise and Cut method for inference in MTD models |
| MTDest | EM estimation of MTD parameters |
| MTDmodel | Creates a Mixture Transition Distribution (MTD) Model |
| oscillation | Oscillations of an MTD Markov chain |
| perfectSample | Perfectly samples an MTD Markov chain |
| probs | Estimated transition probabilities |
| raindata | Rain data set for the city of Canberra, Australia |
| sleepscoring | Data with sleeping patterns |
| tempdata | Maximum temperatures in the city of BrasÃlia, Brazil. |
| testChains | MTD samples for tests |
