kgrams: Classical k-gram Language Models

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

Version:	0.1.2
Depends:	R (≥ 3.5)
Imports:	Rcpp, rlang, methods, utils, RcppProgress (≥ 0.1), Rdpack
LinkingTo:	Rcpp, RcppProgress
Suggests:	testthat (≥ 3.0.0), covr, knitr, rmarkdown
Published:	2021-11-16
Author:	Valerio Gherardi [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
SystemRequirements:	C++11
Materials:	README NEWS
CRAN checks:	kgrams results

Documentation:

Reference manual:	kgrams.pdf
Vignettes:	kgrams

Downloads:

Package source:	kgrams_0.1.2.tar.gz
Windows binaries:	r-devel: kgrams_0.1.2.zip, r-release: kgrams_0.1.2.zip, r-oldrel: kgrams_0.1.2.zip
macOS binaries:	r-release (arm64): kgrams_0.1.2.tgz, r-oldrel (arm64): kgrams_0.1.2.tgz, r-release (x86_64): kgrams_0.1.2.tgz, r-oldrel (x86_64): kgrams_0.1.2.tgz
Old sources:	kgrams archive

Linking:

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