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 (may not be active yet)
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

Documentation:

Reference manual:

RobustLPA.html , RobustLPA.pdf

Downloads:

Package source:	RobustLPA_0.1.0.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): not available, r-oldrel (x86_64): not available

Linking:

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