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.

Version:	0.1.2
Depends:	R (≥ 3.1)
Imports:	clue, ggplot2, glue, invertiforms, LRMF3, magrittr, Matrix, rlang, RSpectra, stats, tibble, withr
Suggests:	covr, dplyr, GGally, igraph, igraphdata, knitr, purrr, rmarkdown, scales, testthat (≥ 3.0.0), tidygraph, tidyr
Published:	2024-11-05
DOI:	10.32614/CRAN.package.vsp
Author:	Karl Rohe [aut], Muzhe Zeng [aut], Alex Hayes [aut, cre, cph], Fan Chen [aut]
Maintainer:	Alex Hayes <alexpghayes at gmail.com>
BugReports:	https://github.com/RoheLab/vsp/issues
License:	MIT + file LICENSE
URL:	https://rohelab.github.io/vsp/, https://github.com/RoheLab/vsp
NeedsCompilation:	no
Materials:	README NEWS
CRAN checks:	vsp results

Documentation:

Reference manual:	vsp.pdf
Vignettes:	bff (source, R code)

Downloads:

Package source:	vsp_0.1.2.tar.gz
Windows binaries:	r-devel: vsp_0.1.2.zip, r-release: vsp_0.1.2.zip, r-oldrel: vsp_0.1.2.zip
macOS binaries:	r-release (arm64): vsp_0.1.2.tgz, r-oldrel (arm64): vsp_0.1.2.tgz, r-release (x86_64): vsp_0.1.2.tgz, r-oldrel (x86_64): vsp_0.1.2.tgz
Old sources:	vsp archive

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