R: Hidden Markov Models with Discrete Non-Parametric Observation Distributions

# Hidden Markov Models with Discrete Non-Parametric Observation Distributions

## Documentation for package ‘hmm.discnp’ version 3.0-9

- DESCRIPTION file.

## Help Pages

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"