Suggests: ca, covr, fastNaiveBayes, knitr, lsa, microbenchmark,
naivebayes, spelling, RColorBrewer, testthat, rmarkdown

person("Stefan", "Müller", email = "stefan.mueller@ucd.ie", role = "aut", comment = c(ORCID = "0000-0002-6315-4125")),
person("Johannes", "Gruber", email = "j.gruber.1@research.gla.ac.uk", role = "aut", comment = c(ORCID = "0000-0001-9177-1772")),
person("William", "Lowe", email = "lowe@hertie-school.org", role = "aut", comment = c(ORCID = "0000-0002-1549-6163")),
person("Vikas", "Sindhwani", email = "vikas.sindhwani@gmail.com", role = "cph",
comment = "authored svmlin C++ source code"),
Imports: ggplot2, glmnet, LiblineaR, Matrix (>= 1.2), quanteda (>=
2.0), RSpectra, Rcpp (>= 0.12.12), RcppParallel, SparseM,
Vikas Sindhwani [cph] (authored svmlin C++ source code),

Imports: glmnet, LiblineaR, Matrix (>= 1.2), quanteda (>= 2.0),
RSpectra, Rcpp (>= 0.12.12), RcppParallel, SparseM, stringi

naivebayes, quanteda.textplots, spelling, testthat, rmarkdown

Title: Plots for the Quantitative Analysis of Textual Data
person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = c("aut"), comment = c(ORCID = "0000-0001-6519-5265")),
person("Ian", "Fellows", email = "ian@fellstat.com", role = "cph",  comment = "authored wordcloud C source code (modified)"),
Description: Plotting functions for visualising textual data.  Extends 'quanteda' and
related packages with plot methods designed specifically for text data, textual statistics,
and models fit to textual data. Plot types include word clouds, lexical dispersion plots,
scaling plots, network visualisations, and word 'keyness' plots.
Imports: quanteda, quanteda.textmodels, quanteda.textstats, data.table,
extrafont, ggplot2, ggrepel, grid, sna, igraph, Matrix,
methods, network, RColorBrewer, Rcpp (>= 0.12.12), stringi
Suggests: rmarkdown, spelling, testthat, knitr

Imports: quanteda, data.table, extrafont, ggplot2, ggrepel, grid, sna,
igraph, Matrix, methods, network, RColorBrewer, Rcpp (>=
Suggests: knitr, quanteda.textmodels, quanteda.textstats, rmarkdown,