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.
| Version: |
0.1.2 |
| Depends: |
R (≥ 3.0.0), bain (≥ 0.2.2), stats |
| Imports: |
methods, MASS, mvtnorm, quadprog, lme4, lavaan, limSolve |
| Suggests: |
testthat, FRACTION, matrixcalc, restriktor |
| Published: |
2021-12-19 |
| Author: |
Rebecca M. Kuiper [aut],
Altinisik Yasin [aut],
Vanbrabant Leonard [ctb],
Caspar J. van Lissa [aut, cre] |
| Maintainer: |
Caspar J. van Lissa <c.j.vanlissa at uu.nl> |
| License: |
GPL (≥ 3) |
| URL: |
https://informative-hypotheses.sites.uu.nl/software/goric/ |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
gorica results |
Documentation:
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