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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>.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 RobustLPA_0.1.0.tar.gz 113.8 KiB
0.1.0 rolling linux/noble R-4.5 RobustLPA_0.1.0.tar.gz 118.1 KiB
0.1.0 rolling source/ R- RobustLPA_0.1.0.tar.gz 13.0 KiB
0.1.0 latest linux/jammy R-4.5 RobustLPA_0.1.0.tar.gz 113.8 KiB
0.1.0 latest linux/noble R-4.5 RobustLPA_0.1.0.tar.gz 118.1 KiB
0.1.0 latest source/ R- RobustLPA_0.1.0.tar.gz 13.0 KiB
0.1.0 2026-04-23 source/ R- RobustLPA_0.1.0.tar.gz 0 B

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