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mnlfa: Moderated Nonlinear Factor Analysis

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. Currently, the package includes dichotomous items and unidimensional item response models. Extensions will be included in future package versions.

Version: 0.3-4
Depends: R (≥ 3.1)
Imports: CDM (≥ 7.0-4), stats, utils
LinkingTo: Rcpp, RcppArmadillo
Enhances: aMNLFA, GPCMlasso, sirt
Published: 2024-02-11
DOI: 10.32614/CRAN.package.mnlfa
Author: Alexander Robitzsch [aut,cre] (<https://orcid.org/0000-0002-8226-3132>)
Maintainer: Alexander Robitzsch <robitzsch at ipn.uni-kiel.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/alexanderrobitzsch/mnlfa, https://sites.google.com/view/alexander-robitzsch/software
NeedsCompilation: yes
Citation: mnlfa citation info
Materials: README NEWS
CRAN checks: mnlfa results

Documentation:

Reference manual: mnlfa.pdf

Downloads:

Package source: mnlfa_0.3-4.tar.gz
Windows binaries: r-devel: mnlfa_0.3-4.zip, r-release: mnlfa_0.3-4.zip, r-oldrel: mnlfa_0.3-4.zip
macOS binaries: r-release (arm64): mnlfa_0.3-4.tgz, r-oldrel (arm64): mnlfa_0.3-4.tgz, r-release (x86_64): mnlfa_0.3-4.tgz, r-oldrel (x86_64): mnlfa_0.3-4.tgz
Old sources: mnlfa archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.