mnlfa-package: Moderated Nonlinear Factor Analysis
In alexanderrobitzsch/mnlfa: Moderated Nonlinear Factor Analysis
mnlfa-package R Documentation
Moderated Nonlinear Factor Analysis
Description
Conducts moderated nonlinear factor analysis (e.g., Curran et al., 2014,
<doi:10.1080/00273171.2014.889594>). Regularization methods are implemented
for assessing non-invariant items. The package includes undimensional
factor models for dichotomous (1PL/2PL), polytomous (GPCM) and
continuous (normal distribution) items.
Author(s)
Alexander Robitzsch [aut, cre]
(<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
References
Curran, P. J., McGinley, J. S., Bauer, D. J., Hussong, A. M., Burns, A.,
Chassin, L., Sher, K., & Zucker, R. (2014).
A moderated nonlinear factor model for the development of commensurate measures
in integrative data analysis. Multivariate Behavioral Research, 49(3),
214-231.
http://dx.doi.org/10.1080/00273171.2014.889594
alexanderrobitzsch/mnlfa documentation built on July 5, 2025, 2:19 a.m.
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| mnlfa-package | R Documentation |
Moderated Nonlinear Factor Analysis
Description
Conducts moderated nonlinear factor analysis (e.g., Curran et al., 2014, <doi:10.1080/00273171.2014.889594>). Regularization methods are implemented for assessing non-invariant items. The package includes undimensional factor models for dichotomous (1PL/2PL), polytomous (GPCM) and continuous (normal distribution) items.
Author(s)
Alexander Robitzsch [aut, cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch@ipn.uni-kiel.de>
References
Curran, P. J., McGinley, J. S., Bauer, D. J., Hussong, A. M., Burns, A., Chassin, L., Sher, K., & Zucker, R. (2014). A moderated nonlinear factor model for the development of commensurate measures in integrative data analysis. Multivariate Behavioral Research, 49(3), 214-231. http://dx.doi.org/10.1080/00273171.2014.889594
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