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
| Version | Repository | File | Size |
|---|---|---|---|
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 |