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vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis
Provides fast spectral estimation of latent factors in random dot product graphs using the vsp estimator. Under mild assumptions, the vsp estimator is consistent for (degree-corrected) stochastic blockmodels, (degree-corrected) mixed-membership stochastic blockmodels, and degree-corrected overlapping stochastic blockmodels.
Getting started
Browse package contents
Package details |
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| Author | Karl Rohe [aut], Muzhe Zeng [aut], Alex Hayes [aut, cre, cph] (<https://orcid.org/0000-0002-4985-5160>), Fan Chen [aut] |
| Maintainer | Alex Hayes <alexpghayes@gmail.com> |
| License | MIT + file LICENSE |
| Version | 0.1.2 |
| URL | https://rohelab.github.io/vsp/ https://github.com/RoheLab/vsp |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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