Hierarchical Log-linear Models for Contingency Tables
Streszczenie
Log-linear models are widely used for qualitative data in multidimensional
contingency tables. Hierarchical log-linear models are models that include all lower-order terms
composed from variables contained in a higher-order model term. The starting point is a saturated
model, then homogenous associations, conditional independence and complete independence.
There are several statistics that help to choose the best model. The first is the likelihood ratio
approach, next is AIC and BIC information criteria. In R software there is loglm() function in
MASS library and glm in stats library. The first approach is presented in this paper
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