Evaluation of Inequality Constrained Hypotheses Using GORICA
Implements the generalized order-restricted information criterion
approximation (GORICA) by Kuiper, Hoijtink, & Silvapulle (2012)
. The GORICA is an AIC-like information
criterion that
can be utilized to evaluate informative hypotheses specifying
directional relationships between model parameters in terms of (in)equality
constraints. The GORICA is applicable not only to
normal linear models, but also to generalized linear models (GLMs),
generalized linear mixed models (GLMMs), and structural equation models
(SEMs). In addition, the GORICA can be utilized in the context of
contingency tables for which (in)equality constrained hypotheses do not
necessarily contain linear restrictions on cell probabilities, but instead
often contain non-linear restrictions on cell probabilities.