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RobustLPA 0.1.0

• Initial CRAN submission.
• Added robust Latent Profile Analysis (LPA) estimation using Huber weighting to handle multivariate outliers.
• Implemented Full Information Maximum Likelihood (FIML) via a high-performance C++ engine (RcppArmadillo) to natively handle missing data.
• Included multiple geometric variance-covariance model parameterizations (Models 1 to 6).
• Provided blrt_robust() for Bootstrapped Likelihood Ratio Tests.
• Provided plot_robust_lpa() for publication-ready visualizations using ggplot2.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.