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'.
| Version: | 1.4.2 |
| Depends: | R (≥ 3.2.0) |
| Imports: | quadprog, lpSolve, bnlearn, methods, ggm, Matrix |
| Published: | 2025-07-22 |
| DOI: | 10.32614/CRAN.package.MoTBFs |
| Author: | Inmaculada Pérez-Bernabé [aut], Antonio Salmerón [aut], Thomas D. Nielsen [aut], Ana D. Maldonado [aut, cre] |
| Maintainer: | Ana D. Maldonado <ana.d.maldonado at ual.es> |
| License: | LGPL-3 |
| NeedsCompilation: | yes |
| CRAN checks: | MoTBFs results |
| Reference manual: | MoTBFs.html , MoTBFs.pdf |
| Package source: | MoTBFs_1.4.2.tar.gz |
| Windows binaries: | r-devel: MoTBFs_1.4.2.zip, r-release: MoTBFs_1.4.2.zip, r-oldrel: MoTBFs_1.4.2.zip |
| macOS binaries: | r-release (arm64): MoTBFs_1.4.2.tgz, r-oldrel (arm64): MoTBFs_1.4.2.tgz, r-release (x86_64): MoTBFs_1.4.2.tgz, r-oldrel (x86_64): MoTBFs_1.4.2.tgz |
| Old sources: | MoTBFs archive |
Please use the canonical form https://CRAN.R-project.org/package=MoTBFs to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.