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: 2026-09-29 09:43:56 UTC; root
Author: Roberto A. Cardenas-Ovando [aut, cre], Julieta Noguez [aut],
        Claudia Rangel-Escareno [aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-09-17 23:20:02 UTC
RemoteUrl: https://github.com/cran/RcppHMM
RemoteRef: HEAD
RemoteSha: 92bd8e39dee0bdda8d093abc92505e1de9a3a746