svs: Tools for Semantic Vector Spaces

Various tools for semantic vector spaces, such as correspondence analysis (simple, multiple and discriminant), latent semantic analysis, probabilistic latent semantic analysis, non-negative matrix factorization, latent class analysis, EM clustering, logratio analysis and log-multiplicative (association) analysis. Furthermore, there are specialized distance measures, plotting functions and some helper functions.

Version: 3.1.1
Depends: R (≥ 4.0.0)
Imports: gtools, graphics, stats, methods, Matrix, utils
Suggests: igraph, MASS, pvclust
Published: 2024-06-24
DOI: 10.32614/CRAN.package.svs
Author: Koen Plevoets ORCID iD [aut, cre]
Maintainer: Koen Plevoets <koen.plevoets at ugent.be>
License: GPL-3
NeedsCompilation: no
Citation: svs citation info
In views: NaturalLanguageProcessing
CRAN checks: svs results

Documentation:

Reference manual: svs.pdf

Downloads:

Package source: svs_3.1.1.tar.gz
Windows binaries: r-devel: svs_3.0.0.zip, r-release: svs_3.0.0.zip, r-oldrel: svs_3.0.0.zip
macOS binaries: r-release (arm64): svs_3.1.1.tgz, r-oldrel (arm64): svs_3.1.1.tgz, r-release (x86_64): svs_3.1.1.tgz, r-oldrel (x86_64): svs_3.1.1.tgz
Old sources: svs archive

Reverse dependencies:

Reverse suggests: quanteda.textstats, zebu

Linking:

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