The R package MixMashNet provides an integrated framework for estimating and analyzing single and multilayer networks using Mixed Graphical Models (MGMs), accommodating continuous, count, and categorical variables. In the multilayer setting, layers may comprise different types and numbers of variables, and users can explicitly impose a predefined multilayer topology. Bootstrap procedures are implemented to quantify sampling uncertainty for edge weights and node-level centrality indices. In addition, the package includes tools to assess the stability of node community membership and to compute community scores that summarize the latent dimensions identified through network clustering. MixMashNet also offers interactive Shiny applications to support exploration, visualization, and interpretation of the estimated networks.

翻译：R语言包MixMashNet提供了一个集成框架，用于基于混合图模型（MGMs）估计和分析单层及多层网络，可处理连续变量、计数变量和分类变量。在多层级设定下，各层可包含不同类型和数量的变量，用户可显式施加预定义的多层拓扑结构。该包实现了Bootstrap方法以量化边权重及节点中心性指标的抽样不确定性。此外，工具包还包含评估节点社区归属稳定性的功能，并支持计算可概括网络聚类所识别潜在维度的社区得分。MixMashNet同时提供交互式Shiny应用界面，以支持对估计网络进行探索、可视化与解释。