Package: RobustLPA
Title: Robust Latent Profile Analysis
Version: 0.1.0
Authors@R: 
    person("Valerio Riccardo", "Aquila", role = c("aut", "cre"), 
    email = "valerio_aquila@hotmail.it", comment = c(ORCID = "0009-0004-2231-2141"))
Description: 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>.
License: GPL (>= 3)
Encoding: UTF-8
RoxygenNote: 8.0.0
LinkingTo: Rcpp, RcppArmadillo
Imports: Rcpp, ggplot2, stats
NeedsCompilation: yes
Packaged: 2026-07-06 08:40:51 UTC; root
Author: Valerio Riccardo Aquila [aut, cre] (ORCID:
        <https://orcid.org/0009-0004-2231-2141>)
Maintainer: Valerio Riccardo Aquila <valerio_aquila@hotmail.it>
Repository: https://vraquila.r-universe.dev
Date/Publication: 2026-07-05 12:44:49 UTC
RemoteUrl: https://github.com/cran/RobustLPA
RemoteRef: HEAD
RemoteSha: 7820b7e18570355cb291456c9a5f83f4d5a3f130