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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.

Version:0.1.3
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:2025-08-20
DOI:10.32614/CRAN.package.vsp
Author:Karl Rohe [aut], Muzhe Zeng [aut], Alex HayesORCID iD [aut, cre, cph], Fan Chen [aut]
Maintainer:Alex Hayes <alexpghayes at gmail.com>
BugReports:https://github.com/RoheLab/vsp/issues
License:MIT + fileLICENSE
URL:https://rohelab.github.io/vsp/,https://github.com/RoheLab/vsp
NeedsCompilation:no
Materials:README,NEWS
CRAN checks:vsp results

Documentation:

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

Downloads:

Package source: vsp_0.1.3.tar.gz
Windows binaries: r-devel:vsp_0.1.3.zip, r-release:vsp_0.1.3.zip, r-oldrel:vsp_0.1.3.zip
macOS binaries: r-release (arm64):vsp_0.1.3.tgz, r-oldrel (arm64):vsp_0.1.3.tgz, r-release (x86_64):vsp_0.1.3.tgz, r-oldrel (x86_64):vsp_0.1.3.tgz
Old sources: vsp archive

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