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.
- Version0.0.6
- R versionunknown
- LicenseGPL (≥ 3.0)
- Needs compilation?No
- latentFactoR citation info
- Last release04/18/2024
Documentation
Team
Alexander Christensen
Hudson Golino
Show author detailsRolesAuthorLuis Eduardo Garrido
Maria Dolores Nieto Canaveras
Show author detailsRolesAuthorMarcos Jimenez
Show author detailsRolesAuthorFrancisco Abad
Show author detailsRolesContributorEduardo Garcia-Garzon
Show author detailsRolesContributorVithor Franco
Show author detailsRolesAuthor
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- Imports12 packages
- Suggests1 package