 In this case, it would be enough for a researcher to know the idea of the method, required model parameters and input variables.The analysis of the model outcomes (distribution of "γ", "β", and corresponding predictions of "y") can be more challenging in comparison to linear regression case.The spike-and-slab model produces inclusion probabilities for each of possible predictors.