REMLA: An R package for robust expectation-maximization estimation for latent variable models
Factor analysis is a widely used statistical method for describing a large number of observed, correlated variables in terms of a smaller number of unobserved variables. Applications of this method usually impose the same latent variable model on all individuals in the sample, but this assumption mi...
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| Main Authors: | Kenneth J. Nieser, Bryan Saúl Ortiz-Torres, Gabriel Zayas-Cabán, Amy Cochran |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711025000792 |
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