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gorica  

Evaluation of Inequality Constrained Hypotheses Using GORICA
View on CRAN: Click here


Download and install gorica package within the R console
Install from CRAN:
install.packages("gorica")

Install from Github:
library("remotes")
install_github("cran/gorica")

Install by package version:
library("remotes")
install_version("gorica", "0.1.4")



Attach the package and use:
library("gorica")
Maintained by
Caspar J. van Lissa
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-12-13
Latest Update: 2023-10-11
Description:
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), . 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.
How to cite:
Caspar J. van Lissa (2019). gorica: Evaluation of Inequality Constrained Hypotheses Using GORICA. R package version 0.1.4, https://cran.r-project.org/web/packages/gorica. Accessed 21 Nov. 2024.
Previous versions and publish date:
0.1.0 (2019-12-13 15:20), 0.1.1 (2021-09-09 14:40), 0.1.2 (2021-12-19 19:00), 0.1.3 (2023-09-03 16:30)
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