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 [![License: GPL v3](https://img.shields.io/badge/License-GPLv3-blue.svg)](https://www.gnu.org/licenses/gpl-3.0)
 
-`SubGroupSeparation` is an R package for marginalization in Bayesian networks. It allows for efficient exact and approximate inference that works both in low- and high-dimensional settings. Efficient marginalization is reached by splitting the calculation into sub-calculations of lower dimensionality. 
+`SubGroupSeparation` is an R package for inference in Bayesian networks. It allows for efficient exact and approximate inference that works both in low- and high-dimensional settings. Efficient marginalization is reached by splitting the calculation into sub-calculations of lower dimensionality. 
 This code is an implementation of the paper [High-Dimensional Inference in Bayesian Networks](https://arxiv.org/abs/2112.09217), [arXiv preprint](https://arxiv.org/abs/2112.09217).
 
 Implemented exact inference methods: