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OmegaG
View on CRAN: Click
here
Download and install OmegaG package within the R console
Install from CRAN:
install.packages("OmegaG")
Install from Github:
library("remotes")
install_github("cran/OmegaG")
Install by package version:
library("remotes")
install_version("OmegaG", "1.0.1")
Attach the package and use:
library("OmegaG")
Maintained by
Yujiao Mai
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-04
Latest Update: 2021-03-04
Description:
It is a computer tool to estimate the item-sum score's reliability (composite reliability, CR) in multidimensional scales with overlapping items. An item that measures more than one domain construct is called an overlapping item.
The estimation is based on factor models allowing unlimited cross-factor loadings such as exploratory structural equation modeling (ESEM) and Bayesian structural equation modeling (BSEM). The factor models include correlated-factor models and bi-factor models. Specifically for bi-factor models, a type of hierarchical factor model, the package estimates the CR hierarchical subscale/hierarchy and CR subscale/scale total. The CR estimator 'Omega-generic' was proposed by Mai, Srivastava, and Krull (2021) . The current version can only handle continuous data.
Yujiao Mai contributes to the algorithms, R programming, and application example. Deo Kumar Srivastava contributes to the algorithms and the application example. Kevin R. Krull contributes to the application example. The package 'OmegaG' was sponsored by American Lebanese Syrian Associated Charities (ALSAC). However, the contents of 'OmegaG' do not necessarily represent the policy of the ALSAC.
How to cite:
Yujiao Mai (2021). OmegaG: Omega-Generic: Composite Reliability of Multidimensional Measures. R package version 1.0.1, https://cran.r-project.org/web/packages/OmegaG. Accessed 30 Apr. 2025.
Previous versions and publish date:
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Complete documentation for OmegaG
Functions, R codes and Examples using
the OmegaG R package
Some associated functions: OmegaG . PedsQLMFS .
Some associated R codes: OmegaG.R . data.R . Full OmegaG package functions and examples
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