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latentFactoR  

Data Simulation Based on Latent Factors
View on CRAN: Click here


Download and install latentFactoR package within the R console
Install from CRAN:
install.packages("latentFactoR")

Install from Github:
library("remotes")
install_github("cran/latentFactoR")

Install by package version:
library("remotes")
install_version("latentFactoR", "0.0.7")



Attach the package and use:
library("latentFactoR")
Maintained by
Alexander Christensen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-09-09
Latest Update: 2025-09-03
Description:
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>.
How to cite:
Alexander Christensen (2022). latentFactoR: Data Simulation Based on Latent Factors. R package version 0.0.7, https://cran.r-project.org/web/packages/latentFactoR. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.0.2 (2022-09-09 09:32), 0.0.3 (2022-10-13 21:50), 0.0.4 (2022-11-22 17:00), 0.0.6 (2024-04-18 23:23)
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Complete documentation for latentFactoR
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