gorica: Evaluation of Inequality Constrained Hypotheses Using GORICA

Implements the generalized order-restricted information criterion approximation (GORICA) by Kuiper, Hoijtink, & Silvapulle (2012) <doi:10.1016/j.jspi.2012.03.007>. 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.

Getting started

Package details

AuthorRebecca M. Kuiper [aut], Altinisik Yasin [aut], Caspar J. van Lissa [aut, cre]
MaintainerCaspar J. van Lissa <c.j.vanlissa@uu.nl>
LicenseGPL (>= 3)
Version0.1.0
URL https://informative-hypotheses.sites.uu.nl/software/goric/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("gorica")

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gorica documentation built on Jan. 9, 2020, 1:12 a.m.