Package: hmma
Type: Package
Title: Constructs Asymmetric Hidden Markov Models
Version: 1.0.0
Authors@R: 
    c(person(given = "Marcos L.P",
             family = "Bueno",
             role = "aut",
             email = "mbueno@cs.ru.nl"),
      person(given = "Arjen",
             family = "Hommersom",
             role = c("aut", "cre"),
             email = "arjen.hommersom@ou.nl"),
      person(given = "Joop",
             family = "Thibaudier",
             role = "aut",
             email = "jthibaudier@gmail.com"),
      person(given = "Marco",
             family = "Scutari",
             role = "ctb",
             email = "marco.scutari@gmail.com"),
      person(given = "Robert",
             family = "Ness",
             role = "ctb"),
      person("Robert Gentleman and Ross Ihaka",
             role = "cph"),
      person("The R Development Core Team",
             role = "cph"),
      person("The R Foundation",
             role = "cph"))
Description: Asymmetric hidden Markov model (HMM-A) learning. 
   HMM-As are similar to regular HMMs, but use Bayesian Networks (BNs) in 
   their emission distribution. The HMM-As can therefore offer more problem 
   insight [Bueno et al. 2017, <doi:10.1016/j.ijar.2017.05.011>].
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.6.0)
VignetteBuilder: knitr
Suggests: knitr, testthat, rmarkdown
Imports: bnlearn, mhsmm, MCMCpack, Rgraphviz, graph, methods
RoxygenNote: 7.1.0
NeedsCompilation: yes
Packaged: 2020-04-08 10:12:52 UTC; joopthibaudier
Author: Marcos L.P Bueno [aut],
  Arjen Hommersom [aut, cre],
  Joop Thibaudier [aut],
  Marco Scutari [ctb],
  Robert Ness [ctb],
  Robert Gentleman and Ross Ihaka [cph],
  The R Development Core Team [cph],
  The R Foundation [cph]
Maintainer: Arjen Hommersom <arjen.hommersom@ou.nl>
Repository: CRAN
Date/Publication: 2020-04-08 16:00:02 UTC
