vsp-package: vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis
In vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis
vsp-package R Documentation
vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis
Description
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.
Author(s)
Maintainer: Alex Hayes alexpghayes@gmail.com (ORCID) [copyright holder]
Authors:
Karl Rohe karlrohe@stat.wisc.edu
Muzhe Zeng mzeng6@wisc.edu
Fan Chen
See Also
Useful links:
vsp documentation built on April 12, 2025, 1:41 a.m.
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| vsp-package | R Documentation |
vsp: Vintage Sparse PCA for Semi-Parametric Factor Analysis
Description
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.
Author(s)
Maintainer: Alex Hayes alexpghayes@gmail.com (ORCID) [copyright holder]
Authors:
Karl Rohe karlrohe@stat.wisc.edu
Muzhe Zeng mzeng6@wisc.edu
Fan Chen
See Also
Useful links:
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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