Package: MoTBFs
Title: Learning Hybrid Bayesian Networks using Mixtures of Truncated
        Basis Functions
Version: 2.0
Authors@R: c(
  person(given = "Inmaculada",
         family = "Pérez-Bernabé",
         role = c("aut")),
  person(given = "Antonio",
         family = "Salmerón",
         role = c("aut")),
  person(given = "Thomas D. ",
         family = "Nielsen",
         role = c("aut")),
  person(given = "Ángel T. ",
         family = "Sáez-Ruiz",
         role = c("aut")),
  person(given = "Ana D.",
         family = "Maldonado",
         role = c("aut","cre"),
         email = "ana.d.maldonado@ual.es",
         comment = c(ORCID = "0000-0001-8253-2526")))
Maintainer: Ana D. Maldonado <ana.d.maldonado@ual.es>
Description: Learning, manipulation and  evaluation of mixtures of  truncated basis  functions 
  (MoTBFs),  which include mixtures of  polynomials (MOPs) and  mixtures of truncated 
  exponentials (MTEs). MoTBFs are a flexible framework for modelling hybrid Bayesian
  networks (I. Pérez-Bernabé, A. Salmerón, H. Langseth (2015) <doi:10.1007/978-3-319-20807-7_36>; H. Langseth, T.D. Nielsen, I. Pérez-Bernabé, A. Salmerón (2014) <doi:10.1016/j.ijar.2013.09.012>; I. Pérez-Bernabé, A. Fernández, R. Rumí, A. Salmerón (2016) <doi:10.1007/s10618-015-0429-7>). The  package provides  functionality for learning  univariate, multivariate and conditional  densities, with the  possibility of incorporating prior  knowledge. Structural learning of hybrid Bayesian  networks is also provided. A set of useful tools is provided, including  plotting, printing  and likelihood  evaluation. This  package  makes use of  S3 objects, with two new classes called 'motbf' and 'jointmotbf'.
License: GPL-3
Imports: quadprog, lpSolve, bnlearn, methods, ggm, Matrix, parallel,
        doParallel, foreach, infotheo
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.3
NeedsCompilation: no
Packaged: 2026-08-21 18:49:24 UTC; amaldonado
Author: Inmaculada Pérez-Bernabé [aut],
  Antonio Salmerón [aut],
  Thomas D. Nielsen [aut],
  Ángel T. Sáez-Ruiz [aut],
  Ana D. Maldonado [aut, cre] (ORCID:
    <https://orcid.org/0000-0001-8253-2526>)
Repository: CRAN
Date/Publication: 2026-08-21 21:50:31 UTC
