jrosen48/tidyLPA: Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software
Easily carry out latent profile analysis ("LPA"), determine the correct number of classes based on best practices, and tabulate and plot the results. Provides functionality to estimate commonly-specified models with free means, variances, and covariances for each profile. Follows a tidy approach, in that output is in the form of a data frame that can subsequently be computed on. Models can be estimated using the free open source 'R' packages 'Mclust' and 'OpenMx', or using the commercial program 'MPlus', via the 'MplusAutomation' package.
Getting started
Browse package contents
Package details |
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| Maintainer | Joshua M Rosenberg <jmrosenberg@utk.edu> |
| License | MIT + file LICENSE |
| Version | 2.0.1 |
| URL | https://data-edu.github.io/tidyLPA/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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