Moderated Nonlinear Factor Analysis

Conducts moderated nonlinear factor analysis (e.g., Curran et al., 2014, ). Regularization methods are implemented for assessing non-invariant items. Currently, the package includes dichotomous items and unidimensional item response models. Extensions will be included in future package versions.

mnlfa

Moderated Nonlinear Factor Analysis

If you use mnlfa and have suggestions for improvement or have found bugs, please email me at [email protected]. Please always provide a minimal dataset, necessary to demonstrate the problem, a minimal runnable code necessary to reproduce the issue, which can be run on the given dataset, and all necessary information on the used librarys, the R version, and the OS it is run on, perhaps a sessionInfo().

Manual

The manual may be found here https://alexanderrobitzsch.github.io/mnlfa/

CRAN version

The official version of mnlfa is hosted on CRAN and may be found here. The CRAN version can be installed from within R using:

utils::install.packages("mnlfa")

GitHub version

The version hosted here is the development version of mnlfa. The GitHub version can be installed using devtools as:

devtools::install_github("alexanderrobitzsch/mnlfa")