Package: gorica 0.1.5.1

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.

Authors:Rebecca M. Kuiper [aut], Altinisik Yasin [aut], Vanbrabant Leonard [ctb], Caspar J. van Lissa [aut, cre]

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gorica/json (API)
NEWS

# Install 'gorica' in R:
install.packages('gorica', repos = c('https://cjvanlissa.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/cjvanlissa/gorica/issues

Datasets:

On CRAN:

3.51 score 32 scripts 645 downloads 1 exports 19 dependencies

Last updated 1 years agofrom:649201b923. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 14 2024
R-4.5-winOKOct 14 2024
R-4.5-linuxOKOct 14 2024
R-4.4-winOKOct 14 2024
R-4.4-macOKOct 14 2024
R-4.3-winOKOct 14 2024
R-4.3-macOKOct 14 2024

Exports:gorica

Dependencies:bainbootlatticelavaanlimSolvelme4lpSolveMASSMatrixminqamnormtmvtnormnlmenloptrnumDerivpbivnormquadprogRcppRcppEigen