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:	3.0.0
Depends:	R (≥ 3.1.0)
Imports:	gtools, graphics, stats, methods, Matrix, utils
Suggests:	MASS, pvclust
Published:	2020-11-09
Author:	Koen Plevoets [aut, cre]
Maintainer:	Koen Plevoets <koen.plevoets at ugent.be>
License:	GPL-3
NeedsCompilation:	no
Citation:	svs citation info
CRAN checks:	svs results

Documentation:

Reference manual:

svs.pdf

Downloads:

Package source:	svs_3.0.0.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_3.0.0.tgz, r-oldrel (arm64): svs_3.0.0.tgz, r-release (x86_64): svs_3.0.0.tgz, r-oldrel (x86_64): svs_3.0.0.tgz
Old sources:	svs archive

Reverse dependencies:

Reverse suggests:

quanteda.textstats, zebu

Linking:

Please use the canonical form https://CRAN.R-project.org/package=svs to link to this page.