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: 2026-06-30 08:24:49 UTC; hp
Author: Valerio Riccardo Aquila [aut, cre] (ORCID:
    <https://orcid.org/0009-0004-2231-2141>)
Maintainer: Valerio Riccardo Aquila <valerio_aquila@hotmail.it>
Repository: CRAN
Date/Publication: 2026-07-05 11:00:02 UTC
