R: Rcpp Hidden Markov Model

# Rcpp Hidden Markov Model

## Documentation for package ‘RcppHMM’ version 1.2.2.1

- DESCRIPTION file
- Package NEWS

## Help Pages

RcppHMM-package | Overview of Package RcppHMM
Changes | Changes Made to Package RcppHMM
evaluation | Observed sequence evaluation given a model
forwardBackward | Forward-backward algortihm for hidden state decoding
generateObservations | Generate observations given a model
initGHMM | Random Initialization for a Hidden Markov Model with emissions modeled as continuous variables
initHMM | Random Initialization for a Hidden Markov Model with emissions modeled as categorical variables
initPHMM | Random Initialization for a Hidden Markov Model with emissions modeled as discrete variables
learnEM | Expectation-Maximization algorithm to estimate the model parameters
loglikelihood | Evaluation of multiple observed sequences given a model
RcppHMM | Overview of Package RcppHMM
setNames | Set the names of the model
setParameters | Set the model parameters
verifyModel | Model parameter verification
viterbi | Viterbi algorithm for hidden state decoding