Package: RcppHMM
Type: Package
Title: Rcpp Hidden Markov Model
Version: 1.2.2.1
Date: 2025-09-17
Authors@R: c(person(given = c("Roberto", "A."),
                    family = "Cardenas-Ovando",
                    role = c("aut", "cre"),
                    email = "robalecarova@gmail.com"),
            person(given = "Julieta",
                    family = "Noguez",
                    role = "aut"),
            person(given = "Claudia",
                    family = "Rangel-Escareno",
                    role = "aut"))
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 (>= 3)
Imports: Rcpp (>= 1.1.0)
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2025-09-17 22:36:28 UTC; RCardenas1
Author: Roberto A. Cardenas-Ovando [aut, cre],
  Julieta Noguez [aut],
  Claudia Rangel-Escareno [aut]
Repository: CRAN
Date/Publication: 2025-09-17 23:20:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2025-09-18 00:51:26 UTC; unix
Archs: RcppHMM.so.dSYM
