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