Robust Latent Profile Analysis R package RobustLPA version 0.1.0 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>. Software Imports: Rcpp, ggplot2, stats LinkingTo: Rcpp, RcppArmadillo Valerio Riccardo Aquila <valerio_aquila@hotmail.it> Comprehensive R Archive Network (CRAN) Valerio Riccardo Aquila [aut, cre] (ORCID: <https://orcid.org/0009-0004-2231-2141>) GPL (>= 3) 2026-07-05 application/tgz https://CRAN.R-project.org/package=RobustLPA doi:10.32614/CRAN.package.RobustLPA