Learning Bayesian Networks with the bnlearn R Package
Learning Bayesian Networks with the bnlearn R Package
复制标题
DOI：
10.18637/jss.v035.i03
复制
发表时间：
2010-07-01
影响因子：
5.8
通讯作者：
Scutari, Marco
中科院分区：
文献类型：
--
作者：
Scutari, Marco
bnlearn是一个R软件包（R Development Core Team 2010），其中包括几种用于学习离散或连续变量贝叶斯网络结构的算法。基于约束和基于分数的算法都已实现，并且可以使用雪包提供的功能（Tierney等人，2008）通过并行计算来提高其性能。几个网络分数和条件独立算法可用于学习算法和独立使用。Rgraphviz软件包提供了高级绘图选项（Gentry等人，2010）。
bnlearn is an R package (R Development Core Team 2010) which includes several algorithms for learning the structure of Bayesian networks with either discrete or continuous variables. Both constraint-based and score-based algorithms are implemented, and can use the functionality provided by the snow package (Tierney et al. 2008) to improve their performance via parallel computing. Several network scores and conditional independence algorithms are available for both the learning algorithms and independent use. Advanced plotting options are provided by the Rgraphviz package (Gentry et al. 2010).