Package: RobustLPA 0.1.0
Valerio Riccardo Aquila
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>.
Authors:
RobustLPA_0.1.0.tar.gz
RobustLPA_0.1.0.tar.gz(r-4.7-arm64)RobustLPA_0.1.0.tar.gz(r-4.7-x86_64)RobustLPA_0.1.0.tar.gz(r-4.6-arm64)RobustLPA_0.1.0.tar.gz(r-4.6-x86_64)
RobustLPA_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
RobustLPA/json (API)
| # Install 'RobustLPA' in R: |
| install.packages('RobustLPA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:7820b7e185. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 130 | ||
| linux-devel-x86_64 | OK | 127 | ||
| source / vignettes | OK | 176 | ||
| linux-release-arm64 | OK | 136 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 143 |
Exports:blrt_robustestimate_profiles_robustplot_robust_lparobust_lparobust_m_steprobust_mean
Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecycleR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bootstrapped Likelihood Ratio Test for Robust LPA | blrt_robust |
| Estimate Robust Latent Profile Models | estimate_profiles_robust |
| Plot Robust Latent Profiles | plot_robust_lpa |
| Fit a Single Robust Latent Profile Analysis Model | robust_lpa |
| Perform a Robust M-Step for Latent Profile Analysis | robust_m_step |
| Calculate the robust mean | robust_mean |
