tidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
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Published:2018-10-10
Issue:30
Volume:3
Page:978
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ISSN:2475-9066
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Container-title:Journal of Open Source Software
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language:
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Short-container-title:JOSS
Author:
Rosenberg JoshuaORCID,
Beymer PatrickORCID,
Anderson DanielORCID,
van Lissa C.j.ORCID,
Schmidt JenniferORCID
Publisher
The Open Journal
Reference6 articles.
1. mclust 5: clustering, classification and density estimation using Gaussian finite mixture models, Scrucca, Luca and Fop, Michael and Murphy, Thomas Brendan and Raftery, Adrian E., The R Journal, 2017, 8, 1, 205–233, https://journal.r-project.org/archive/2017/RJ-2017-008/RJ-2017-008.pdf
2. Mplus User’s Guide (8th ed.), Muthen, LK and Muthen, BO, Muthen & Muthen, 2017
3. MplusAutomation: An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus
4. A latent profile analysis of college students’ achievement goal orientation
5. Mixture Modeling: Applications in Educational Psychology
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