Package: funHMM
Type: Package
Title: Hidden Markov Models for Functional Data
Version: 0.1.0
Authors@R: person(given = "Adam B", family = "Kashlak",
    email = "kashlak@ualberta.ca", role = c("aut", "cre"))
Description: Fits hidden Markov models to time-ordered sequences of
        curves, such as sample paths of stochastic processes or
        smoothed functional observations, without projecting the curves
        onto a finite basis.  The emission functions are
        Onsager-Machlup functionals of Gaussian measures on function
        spaces, which allows for Brownian motion with drift, fractional
        Brownian motion, Ornstein-Uhlenbeck processes and
        non-parametric state means under a choice of Cameron-Martin
        norm.  The Baum-Welch and Viterbi algorithms are implemented in
        C.  Methods are described in Kashlak, Loliencar and Heo (2023)
        <https://jmlr.org/papers/v24/22-0685.html>.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0)
Imports: stats, graphics, grDevices
Suggests: knitr, rmarkdown, testthat (>= 3.0.0)
VignetteBuilder: knitr
NeedsCompilation: yes
RoxygenNote: 7.2.3
Config/testthat/edition: 3
Packaged: 2026-09-24 05:12:36 UTC; root
Author: Adam B Kashlak [aut, cre]
Maintainer: Adam B Kashlak <kashlak@ualberta.ca>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-09-24 05:03:24 UTC
RemoteUrl: https://github.com/cran/funHMM
RemoteRef: HEAD
RemoteSha: d0388a300ae8a9197bc177d2c03e94e51d2632a6