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: 2026-09-11 17:42:01 UTC; adam
Author: Adam B Kashlak [aut, cre]
Maintainer: Adam B Kashlak <kashlak@ualberta.ca>
Repository: CRAN
Date/Publication: 2026-09-24 04:00:02 UTC
Built: R 4.5.2; x86_64-apple-darwin20; 2026-09-24 06:11:18 UTC; unix
Archs: funHMM.so.dSYM
