The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 0.2.0
Depends: R (≥ 4.0)
Imports: Rcpp, rlang, methods, utils, RcppProgress (≥ 0.1), Rdpack
LinkingTo: Rcpp, RcppProgress
Suggests: testthat (≥ 3.0.0), covr, knitr, rmarkdown
Published: 2023-10-06
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

Downloads:

Package source: kgrams_0.2.0.tar.gz
Windows binaries: r-devel: kgrams_0.2.0.zip, r-release: kgrams_0.2.0.zip, r-oldrel: kgrams_0.2.0.zip
macOS binaries: r-release (arm64): kgrams_0.2.0.tgz, r-oldrel (arm64): kgrams_0.2.0.tgz, r-release (x86_64): kgrams_0.2.0.tgz, r-oldrel (x86_64): kgrams_0.2.0.tgz
Old sources: kgrams archive

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.
Health stats visible at Monitor.