| anova.hmm.discnp | Anova for hmm.discnp models | 
| Bovine | Data from "An Introduction to Discrete-Valued Time Series" | 
| ccprSim | Simulated monocyte counts and psychosis symptoms. | 
| cnvrtRho | Convert Rho between forms. | 
| Cryptosporidiosis | Data from "An Introduction to Discrete-Valued Time Series" | 
| Downloads | Data from "An Introduction to Discrete-Valued Time Series" | 
| EricssonB_Jul2 | Data from "An Introduction to Discrete-Valued Time Series" | 
| FattyLiver | Data from "An Introduction to Discrete-Valued Time Series" | 
| FattyLiver2 | Data from "An Introduction to Discrete-Valued Time Series" | 
| fitted.hmm.discnp | Fitted values of a discrete non-parametric hidden Markov model. | 
| ftLiardFlows | Canadian hydrological data sets. | 
| goldparticle380 | Data from "An Introduction to Discrete-Valued Time Series" | 
| Hanta | Data from "An Introduction to Discrete-Valued Time Series" | 
| hmm | Fit a hidden Markov model to discrete data. | 
| InfantEEGsleepstates | Data from "An Introduction to Discrete-Valued Time Series" | 
| IPs | Data from "An Introduction to Discrete-Valued Time Series" | 
| LegionnairesDisease | Data from "An Introduction to Discrete-Valued Time Series" | 
| lesionCount | Multiple sclerosis lesion counts for three patients. | 
| linLandFlows | Canadian hydrological data sets. | 
| logLikHmm | Log likelihood of a hidden Markov model | 
| misstify | Insert missing values. | 
| mps | Most probable states. | 
| nafracCalc | Calculate fractions of missing values. | 
| OffshoreRigcountsAlaska | Data from "An Introduction to Discrete-Valued Time Series" | 
| portMannFlows | Canadian hydrological data sets. | 
| portMannSedCon | Canadian hydrological data sets. | 
| portMannSedLoads | Canadian hydrological data sets. | 
| pr | Probability of state sequences. | 
| predict.hmm.discnp | Predicted values of a discrete non-parametric hidden Markov model. | 
| PriceStability | Data from "An Introduction to Discrete-Valued Time Series" | 
| rhmm | Simulate discrete data from a non-parametric hidden Markov model. | 
| rhmm.default | Simulate discrete data from a non-parametric hidden Markov model. | 
| rhmm.hmm.discnp | Simulate discrete data from a non-parametric hidden Markov model. | 
| scovmat | Simulation based covariance matrix. | 
| sp | Calculate the conditional state probabilities. | 
| squantCI | Simulation-quantile based confidence intervals. | 
| Strikes | Data from "An Introduction to Discrete-Valued Time Series" | 
| 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" | 
| WoodPeweeSong | Data from "An Introduction to Discrete-Valued Time Series" |