RobustLPA: Robust Latent Profile Analysis

Provides a comprehensive toolset for estimating Latent Profile Analysis (LPA) models that are robust to multivariate outliers and missing data. By integrating a high-performance 'C++' engine via 'RcppArmadillo' with a Full Information Maximum Likelihood (FIML) approach and Huber weighting, it reliably extracts latent profiles even in complex datasets. It supports multiple geometric variance-covariance models, along with functions for bootstrapped likelihood ratio tests and plotting. For methodological details on the Bootstrapped Likelihood Ratio Test, see Nylund et al. (2007) <doi:10.1080/10705510701575396>. For robust clustering methods, see Garcia-Escudero et al. (2010) <doi:10.1007/s11634-010-0064-5>.

Version:	0.1.0
Imports:	Rcpp, ggplot2, stats
LinkingTo:	Rcpp, RcppArmadillo
Published:	2026-07-05
DOI:	10.32614/CRAN.package.RobustLPA
Author:	Valerio Riccardo Aquila [aut, cre]
Maintainer:	Valerio Riccardo Aquila <valerio_aquila at hotmail.it>
License:	GPL (≥ 3)
NeedsCompilation:	yes
Materials:	NEWS
CRAN checks:	RobustLPA results

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