NEWS

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RobustLPA 0.1.0 (2026-07-05)

• 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.