Data Simulation Based on Latent Factors R package latentFactoR version 0.0.8 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>. Software Depends: R (>= 3.6.0) Imports: BBmisc, car, EGAnet, fspe, googledrive, ineq, lavaan, Matrix, methods, mlr, mvtnorm, psych, rstudioapi, xgboost Suggests: ggplot2, scales Alexander Christensen <alexpaulchristensen@gmail.com> Comprehensive R Archive Network (CRAN) Alexander Christensen [aut, cre] (ORCID: <https://orcid.org/0000-0002-9798-7037>), Luis Eduardo Garrido [aut] (ORCID: <https://orcid.org/0000-0001-8932-6063>), Maria Dolores Nieto Canaveras [aut], Hudson Golino [aut] (ORCID: <https://orcid.org/0000-0002-1601-1447>), Marcos Jimenez [aut], Francisco Abad [ctb], Eduardo Garcia-Garzon [ctb], Vithor Franco [aut], David Blackman [ctb] (Original xoshiro.c implementation), Sebastiano Vigna [ctb] (Original xoshiro.c implementation), John Burkardt [cph, ctb] (Original ziggurat.c implementation) GPL (>= 3.0) 2026-07-28 application/tgz https://CRAN.R-project.org/package=latentFactoR doi:10.32614/CRAN.package.latentFactoR