Package: mnlfa 0.4-2

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.

Authors:Alexander Robitzsch [aut,cre]

mnlfa_0.4-2.tar.gz
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mnlfa_0.4-2.tar.gz(r-4.5-noble)mnlfa_0.4-2.tar.gz(r-4.4-noble)
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mnlfa.pdf |mnlfa.html
mnlfa/json (API)
NEWS

# Install 'mnlfa' in R:
install.packages('mnlfa', repos = c('https://alexanderrobitzsch.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/alexanderrobitzsch/mnlfa/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

3.18 score 3 stars 211 downloads 2 exports 8 dependencies

Last updated 8 months agofrom:29e6968b6b. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-win-x86_64OKOct 08 2024
R-4.5-linux-x86_64OKOct 08 2024
R-4.4-win-x86_64OKOct 08 2024
R-4.4-mac-x86_64OKOct 08 2024
R-4.4-mac-aarch64OKOct 08 2024
R-4.3-win-x86_64OKOct 08 2024
R-4.3-mac-x86_64OKOct 08 2024
R-4.3-mac-aarch64OKOct 08 2024

Exports:mnlfamnlfa_expand_to_list

Dependencies:admiscCDMlatticeMatrixmvtnormpolycorRcppRcppArmadillo