latentFactoR: Data Simulation Based on Latent Factors (original) (raw)
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 |
| License: | GPL (≥ 3.0) |
| NeedsCompilation: | no |
| Citation: | latentFactoR citation info |
| Materials: | |
| CRAN checks: | latentFactoR results |
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