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kgrams: Classical k-gram Language Models

Training and evaluating k-gram language models in R, supporting several probability smoothing techniques, perplexity computations, random text generation and more.

Version: 0.2.1
Depends: R (≥ 4.0)
Imports: Rcpp, rlang, methods, utils, RcppProgress (≥ 0.1), Rdpack
LinkingTo: Rcpp, RcppProgress
Suggests: testthat (≥ 3.0.0), covr, knitr, rmarkdown, tibble
Published: 2024-11-13
DOI: 10.32614/CRAN.package.kgrams
Author: Valerio Gherardi ORCID iD [aut, cre]
Maintainer: Valerio Gherardi <vgherard840 at gmail.com>
BugReports: https://github.com/vgherard/kgrams/issues
License: GPL (≥ 3)
URL: https://vgherard.github.io/kgrams/, https://github.com/vgherard/kgrams
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: kgrams results

Documentation:

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

Downloads:

Package source: kgrams_0.2.1.tar.gz
Windows binaries: r-devel: kgrams_0.2.1.zip, r-release: kgrams_0.2.1.zip, r-oldrel: kgrams_0.2.1.zip
macOS binaries: r-release (arm64): kgrams_0.2.1.tgz, r-oldrel (arm64): kgrams_0.2.1.tgz, r-release (x86_64): kgrams_0.2.1.tgz, r-oldrel (x86_64): kgrams_0.2.1.tgz
Old sources: kgrams archive

Reverse dependencies:

Reverse imports: idiolect

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.