Package: mnlfa 0.4-35

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. The package includes undimensional factor models for dichotomous (1PL/2PL), polytomous (GPCM) and continuous (normal distribution) items.

Authors:Alexander Robitzsch [aut, cre]

mnlfa_0.4-35.tar.gz
mnlfa_0.4-35.zip(r-4.7)mnlfa_0.4-35.zip(r-4.6)mnlfa_0.4-35.zip(r-4.5)
mnlfa_0.4-35.tgz(r-4.6-x86_64)mnlfa_0.4-35.tgz(r-4.6-arm64)mnlfa_0.4-35.tgz(r-4.5-x86_64)mnlfa_0.4-35.tgz(r-4.5-arm64)
mnlfa_0.4-35.tar.gz(r-4.7-arm64)mnlfa_0.4-35.tar.gz(r-4.7-x86_64)mnlfa_0.4-35.tar.gz(r-4.6-arm64)mnlfa_0.4-35.tar.gz(r-4.6-x86_64)
mnlfa_0.4-35.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mnlfa/json (API)
NEWS

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

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

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

On CRAN:

Conda:

cpp

3.60 score 4 stars 224 downloads 2 exports 12 dependencies

Last updated from:b97ba9bff6. Checks:11 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64ERROR150
linux-devel-x86_64ERROR166
source / vignettesOK171
linux-release-arm64ERROR152
linux-release-x86_64ERROR159
macos-release-arm64ERROR99
macos-release-x86_64ERROR390
macos-oldrel-arm64ERROR113
macos-oldrel-x86_64ERROR212
windows-develERROR139
windows-releaseERROR178
windows-oldrelERROR119
wasm-releaseOK155

Exports:mnlfamnlfa_expand_to_list

Dependencies:admiscCDMlatticeMatrixmvtnormpbapplypbvpolycorRcppRcppArmadillosirtTAM