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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 |
| DOI: |
10.32614/CRAN.package.latentFactoR |
| Author: |
Alexander Christensen
 [aut, cre],
Luis Eduardo Garrido
[aut],
Maria Dolores Nieto Canaveras [aut],
Hudson Golino
[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:
Downloads:
Linking:
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https://CRAN.R-project.org/package=latentFactoR
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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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