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latentFactoR: Data Simulation Based on Latent Factors

Generates data based on latent factor models. Data can be continuous, polytomous, dichotomous, or mixed. Skews, cross-loadings, wording effects, population errors, and local dependencies can be added. All parameters can be manipulated. Data categorization is based on Garrido, Abad, and Ponsoda (2011) <doi:10.1177/0013164410389489>.

Version: 0.0.6
Depends: R (≥ 3.6.0)
Imports: BBmisc, EGAnet, fspe, googledrive, ineq, lavaan, Matrix, methods, mlr, mvtnorm, psych, rstudioapi, xgboost
Suggests: ggplot2
Published: 2024-04-18
Author: Alexander Christensen ORCID iD [aut, cre], Luis Eduardo Garrido ORCID iD [aut], Maria Dolores Nieto Canaveras [aut], Hudson Golino ORCID iD [aut], Marcos Jimenez [aut], Francisco Abad [ctb], Eduardo Garcia-Garzon [ctb], Vithor Franco [aut]
Maintainer: Alexander Christensen <alexpaulchristensen at gmail.com>
License: GPL (≥ 3.0)
NeedsCompilation: no
Citation: latentFactoR citation info
Materials: NEWS
CRAN checks: latentFactoR results

Documentation:

Reference manual: latentFactoR.pdf

Downloads:

Package source: latentFactoR_0.0.6.tar.gz
Windows binaries: r-devel: latentFactoR_0.0.6.zip, r-release: latentFactoR_0.0.6.zip, r-oldrel: latentFactoR_0.0.6.zip
macOS binaries: r-release (arm64): latentFactoR_0.0.6.tgz, r-oldrel (arm64): latentFactoR_0.0.6.tgz, r-release (x86_64): latentFactoR_0.0.6.tgz, r-oldrel (x86_64): latentFactoR_0.0.6.tgz
Old sources: latentFactoR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=latentFactoR to link to this page.

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.
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