tidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

R Submitted 16 September 2018Published 02 December 2019
Review

Editor: @arfon (all papers)
Reviewers: @jnese (all reviews), @strengejacke (all reviews)

Authors

Joshua M. Rosenberg (0000-0003-2170-0447), Patrick N. Beymer (0000-0002-3569-2305), Daniel J. Anderson (0000-0003-4699-4680), C.j. van Lissa (0000-0002-0808-5024), Jennifer A. Schmidt (0000-0003-2853-9801)

Citation

Rosenberg et al., (2018). tidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software. Journal of Open Source Software, 3(30), 978, https://doi.org/10.21105/joss.00978

@article{Rosenberg2018, doi = {10.21105/joss.00978}, url = {https://doi.org/10.21105/joss.00978}, year = {2018}, publisher = {The Open Journal}, volume = {3}, number = {30}, pages = {978}, author = {Joshua M. Rosenberg and Patrick N. Beymer and Daniel J. Anderson and C.j. van Lissa and Jennifer A. Schmidt}, title = {tidyLPA: An R Package to Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

mixture modeling Latent Profile Analysis MPlus

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066