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.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Caspar J. van Lissa, 7 months ago


Browse source code at https://github.com/cran/gorica

Authors: Rebecca M. Kuiper [aut] , Altinisik Yasin [aut] , Caspar J. van Lissa [aut, cre]

Documentation:   PDF Manual  

GPL (>= 3) license

Imports MASS, mvtnorm, quadprog, lme4, lavaan

Depends on bain, stats

Suggests testthat

See at CRAN