Generalized Order-Restricted Information Criterion for Selecting
Order-Restricted (Multivariate) Linear Models
Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate regression models.

Generalized Order-Restricted Information Criterion (GORIC) value for a set of hypotheses in multivariate linear models and generalised linear models.

Evaluation of Inequality Constrained Hypotheses Using GORICA
c(
person(c("Rebecca M."), "Kuiper", role = "aut"),
person(c("Altinisik"), "Yasin", role = "aut"),
person(c("Caspar", "J."), "van Lissa", role = c("aut", "cre"),
email = "c.j.vanlissa@uu.nl")
)
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.
Rebecca M. Kuiper [aut],
Altinisik Yasin [aut],
Caspar J. van Lissa [aut, cre]
Caspar J. van Lissa <c.j.vanlissa@uu.nl>

c(
person(c("Rebecca M."), "Kuiper", role = "aut"),
person(c("Altinisik"), "Yasin", role = "aut"),
person(c("Vanbrabant"), "Leonard", role = "ctb"),
person(c("Caspar", "J."), "van Lissa", role = c("aut", "cre"),
email = "c.j.vanlissa@uu.nl")
)
MASS, mvtnorm, quadprog, lme4, lavaan, limSolve
Rebecca M. Kuiper [aut],
Altinisik Yasin [aut],
Vanbrabant Leonard [ctb],
Caspar J. van Lissa [aut, cre]

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.
methods, MASS, mvtnorm, quadprog, lme4, lavaan, limSolve