Man pages for hmm.discnp
Hidden Markov Models with Discrete Non-Parametric Observation Distributions
| anova.hmm.discnp | Anova for hmm.discnp models |
| ccprSim | Simulated monocyte counts and psychosis symptoms. |
| cnvrtRho | Convert Rho between forms. |
| fitted.hmm.discnp | Fitted values of a discrete non-parametric hidden Markov... |
| hmm | Fit a hidden Markov model to discrete data. |
| hmm.discnp-internal | Internal hmm.discnp functions. |
| hydroDat | Canadian hydrological data sets. |
| lesionCount | Multiple sclerosis lesion counts for three patients. |
| logLikHmm | Log likelihood of a hidden Markov model |
| misstify | Insert missing values. |
| mps | Most probable states. |
| nafracCalc | Calculate fractions of missing values. |
| pr | Probability of state sequences. |
| predict.hmm.discnp | Predicted values of a discrete non-parametric hidden Markov... |
| rhmm | Simulate discrete data from a non-parametric hidden Markov... |
| scovmat | Simulation based covariance matrix. |
| sp | Calculate the conditional state probabilities. |
| squantCI | Simulation-quantile based confidence intervals. |
| SydColDisc | Discretised version of coliform counts in sea-water samples |
| update.hmm.discnp | Update a fitted 'hmm.discnp' model. |
| viterbi | Most probable state sequence. |
| weissData | Data from "An Introduction to Discrete-Valued Time Series" |
