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.
Version: 1.2.2 Imports: Rcpp (≥ 0.12.6) LinkingTo: Rcpp, RcppArmadillo Published: 2017-11-21 DOI: 10.32614/CRAN.package.RcppHMM Author: Roberto A. Cardenas-Ovando, Julieta Noguez and Claudia Rangel-Escareno Maintainer: Roberto A. Cardenas-Ovando <robalecarova at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] NeedsCompilation: yes SystemRequirements: C++11 Materials: NEWS CRAN checks: RcppHMM results Documentation: Downloads: Reverse dependencies: Linking:Please use the canonical form https://CRAN.R-project.org/package=RcppHMM to link to this page.
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