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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.0.7 |
rolling linux/jammy R-4.5 | latentFactoR_0.0.7.tar.gz |
273.1 KiB |
0.0.7 |
rolling linux/noble R-4.5 | latentFactoR_0.0.7.tar.gz |
273.0 KiB |
0.0.7 |
rolling source/ R- | latentFactoR_0.0.7.tar.gz |
75.5 KiB |
0.0.7 |
latest linux/jammy R-4.5 | latentFactoR_0.0.7.tar.gz |
273.1 KiB |
0.0.7 |
latest linux/noble R-4.5 | latentFactoR_0.0.7.tar.gz |
273.0 KiB |
0.0.7 |
latest source/ R- | latentFactoR_0.0.7.tar.gz |
75.5 KiB |
0.0.7 |
2026-04-26 source/ R- | latentFactoR_0.0.7.tar.gz |
75.5 KiB |
0.0.7 |
2026-04-23 source/ R- | latentFactoR_0.0.7.tar.gz |
75.5 KiB |
0.0.7 |
2026-04-09 windows/windows R-4.5 | latentFactoR_0.0.7.zip |
276.3 KiB |
0.0.6 |
2025-04-20 source/ R- | latentFactoR_0.0.6.tar.gz |
75.4 KiB |