hierarchical: for automatic hierachical regression (predictors automatically entered for regression one by one) group_hierarchical: for automatic hierachical regression in sets (groups of predictors ...

Learn what moderators and mediators are, how to identify them, and how to analyze them using regression techniques in statistics. Skip to main content LinkedIn Articles ...

hierarchical: for automatic hierachical regression (predictors automatically entered for regression one by one) group_hierarchical: for automatic hierachical regression in sets (groups of predictors ...

Abstract: Maximum entropy/iterative scaling (ME/IS)models have been well developed for classification on categorical (discrete-field) feature spaces. In this paper, we propose a hierarchical maximum ...

Regression Clustering (RC) is a combination of unsupervised and supervised learning techniques that aims to address the problems arising with performing regression that results in a varied set of ...

Regression formulas are a domain-specific language adopted by several R packages for describing an important and useful class of statistical models: hierarchical linear regressions. Formulas are ...

Abstract Considering the flexibility and applicability of Bayesian modeling, in this work we revise the main characteristics of two hierarchical models in a regression setting. We study the full ...