Package: RcppHMM
Type: Package
Title: Rcpp Hidden Markov Model
Version: 1.2.2
Date: 2017-11-21
Author: Roberto A. Cardenas-Ovando, Julieta Noguez and Claudia Rangel-Escareno
Maintainer: Roberto A. Cardenas-Ovando <robalecarova@gmail.com>
Description: Collection of functions to evaluate sequences, decode hidden states and estimate parameters from a single or multiple sequences of a discrete time Hidden Markov Model. The observed values can be modeled by a multinomial distribution for categorical/labeled emissions, a mixture of Gaussians for continuous data and also a mixture of Poissons for discrete values. It includes functions for random initialization, simulation, backward or forward sequence evaluation, Viterbi or forward-backward decoding and parameter estimation using an Expectation-Maximization approach.
License: GPL (>= 2)
Imports: Rcpp (>= 0.12.6)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
SystemRequirements: C++11
Packaged: 2017-11-21 19:02:00 UTC; Dell
Repository: CRAN
Date/Publication: 2017-11-21 19:27:14 UTC
Built: R 4.1.0; aarch64-apple-darwin20; 2021-07-24 17:37:03 UTC; unix
Archs: RcppHMM.so.dSYM
