gorica
Evaluation of Inequality Constrained Hypotheses Using GORICA
Implements the generalized order-restricted information criterion approximation (GORICA), 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 (see Altinisik, Van Lissa, Hoijtink, Oldehinkel, & Kuiper, 2021), doi:10.31234/osf.io/t3c8g. The GORICA is applicable not only to normal linear models, but also to generalized linear models (GLMs), generalized linear mixed models (GLMMs), structural equation models (SEMs), and contingency tables. For contingency tables, restrictions on cell probabilities can be non-linear.
- Version0.1.4
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release10/11/2023
Documentation
Team
Caspar J. van Lissa
Rebecca M. Kuiper
Show author detailsRolesAuthorAltinisik Yasin
Show author detailsRolesAuthorVanbrabant Leonard
Show author detailsRolesContributor
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- Depends1 package
- Imports6 packages
- Suggests3 packages