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软件包MixMashNet提供了一个集成框架，用于通过混合图模型（MGMs）估计和分析单层及多层网络，能够处理连续型、计数型和分类型变量。在多层网络设置中，各层可包含不同类型和数量的变量，用户可显式地施加预定义的多层拓扑结构。该软件包实现了自助法（Bootstrap）程序，以量化边权重和节点级中心性指标的抽样不确定性。此外，软件包还包含评估节点社区成员稳定性的工具，以及计算社区分数的功能，这些分数可概括通过网络聚类识别的潜在维度。MixMashNet还提供了交互式Shiny应用程序，以支持对估计网络的探索、可视化与解释。