  This paper develops an R package rMultiNet to analyze multilayer network
data. We provide two general frameworks from recent literature, e.g. mixture
multilayer stochastic block model(MMSBM) and mixture multilayer latent space
model(MMLSM) to generate the multilayer network. We also provide several
methods to reveal the embedding of both nodes and layers followed by further
data analysis methods, such as clustering. Three real data examples are
processed in the package. The source code of rMultiNet is available at
https://github.com/ChenyuzZZ73/rMultiNet.
