Package: OmegaG
Title: Omega-Generic: Composite Reliability of Multidimensional
        Measures
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)
        <https://whova.com/embedded/subsession/enars_202103/1450751/1452993/>.
        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.
Version: 1.0.1
Depends: R (>= 2.50)
License: GPL-2
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Author: Yujiao Mai [cre, aut], Deo Kumar Srivastava [aut], Kevin R.
        Krull [aut]
Maintainer: Yujiao Mai <yujiaomai@gmail.com>
NeedsCompilation: no
Packaged: 2026-09-26 08:39:01 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2021-03-04 08:20:08 UTC
RemoteUrl: https://github.com/cran/OmegaG
RemoteRef: HEAD
RemoteSha: 86ab8e8a4ef6a1248717ebda2e46fe0f92e4f87a
