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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>.
Getting started
Browse package contents
Package details |
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| Author | Alexander Christensen [aut, cre] (<https://orcid.org/0000-0002-9798-7037>), Luis Eduardo Garrido [aut] (<https://orcid.org/0000-0001-8932-6063>), Maria Dolores Nieto Canaveras [aut], Hudson Golino [aut] (<https://orcid.org/0000-0002-1601-1447>), Marcos Jimenez [aut], Francisco Abad [ctb], Eduardo Garcia-Garzon [ctb], Vithor Franco [aut] |
| Maintainer | Alexander Christensen <alexpaulchristensen@gmail.com> |
| License | GPL (>= 3.0) |
| Version | 0.0.6 |
| Package repository | View on CRAN |
| Installation |
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