https://vraquila.r-universe.devRecent package updates in vraquilaR-universehttps://github.com/vraquila.pnghttps://vraquila.r-universe.devSun, 05 Jul 2026 12:44:49 GMTvalerio_aquila@hotmail.it (Valerio Riccardo Aquila)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>.https://github.com/r-universe/vraquila/actions/runs/28778797140Sun, 05 Jul 2026 12:44:49 GMTRobustLPA0.1.0successhttps://vraquila.r-universe.devhttps://github.com/cran/RobustLPA