Installation
About
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.
| Citation | latentFactoR citation info |
Key Metrics
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| Last 30 days | 985 +15% |
| Last 90 days | 2.320 +78% |
| Last 365 days | 4.137 +61% |
Maintainer
| Maintainer | Alexander Christensen |