Vector Generalized Linear And Additive Models
y allowing multiple parameters of the response distribution (such as mean, variance, skewness) to be modeled as functions of predictors, whereas GLMs typically model only the mean parameter. This allows VGLMs to capture more complex data structures and relationships. What are the advantages of us