Changes in version 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.