Many researchers want to report an R2 to measure the variance explained by a model. When the model includes correlation among data, such as phylogenetic models and mixed models, defining an R2 faces t
Importance values are the posterior probabilities over the set of hypotheses and represent the sum of the Akaike weights for each model containing a specific predictor in the model set.
The block-model family has four popular network models (SBM, DCBM, MMSBM, and DCMM). A fundamental problem is, how well each of these models fits with real networks. We propose GoF-MSCORE as a new Goo
