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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 |
DOI: | 10.32614/CRAN.package.latentFactoR |
Author: | Alexander Christensen
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Maintainer: | Alexander Christensen <alexpaulchristensen at gmail.com> |
License: | GPL (≥ 3.0) |
NeedsCompilation: | no |
Citation: | latentFactoR citation info |
Materials: | NEWS |
CRAN checks: | latentFactoR results |
Reference manual: | latentFactoR.pdf |
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 |
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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.
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