bnviewer - Bayesian Networks Interactive Visualization and Explainable Artificial Intelligence
Bayesian networks provide an intuitive framework for probabilistic reasoning and its graphical nature can be interpreted quite clearly. Graph based methods of machine learning are becoming more popular because they offer a richer model of knowledge that can be understood by a human in a graphical format. The 'bnviewer' is an R Package that allows the interactive visualization of Bayesian Networks. The aim of this package is to improve the Bayesian Networks visualization over the basic and static views offered by existing packages.
Last updated 4 years ago
bayesian-inferencebayesian-networkbayesian-networksprobabilistic-graphical-models
4.77 score 6 stars 1 packages 65 scripts 401 downloadsdbnlearn - Dynamic Bayesian Network Structure Learning, Parameter Learning and Forecasting
It allows to learn the structure of univariate time series, learning parameters and forecasting. Implements a model of Dynamic Bayesian Networks with temporal windows, with collections of linear regressors for Gaussian nodes, based on the introductory texts of Korb and Nicholson (2010) <doi:10.1201/b10391> and Nagarajan, Scutari and Lèbre (2013) <doi:10.1007/978-1-4614-6446-4>.
Last updated 4 years ago
bayesian-inferencebayesian-networksdynamic-bayesian-networksprobabilistic-graphical-modelstime-series
4.26 score 14 stars 26 scripts 223 downloads