1. Understanding variation in rates of speciation and extinction -- both among lineages and through time -- is critical to the testing of many hypotheses about macroevolutionary processes. BAMM is a f
Data and code from:Anglim, J., & Wynton, S. K. (2015). Hierarchical Bayesian models of subtask learning. Journal of experimental psychology: learning, memory, and cognition, 41(4), 957-974. doi:10
In the context of generalized linear models (GLMs), interactions are automatically induced on the natural scale of the data. The conventional approach to measuring effects in GLMs based on significanc
Supplementary files include the following output datasets: 1 - "Corrected Gene Counts" (CGCs); 2 - "AB_Matrix_1_or_2"; 3 - "AMR-def"; 4 - "AMR-all"; 5 - "Dataset_For_Bayesian_Model" Files to produce t
