Package: quanteda.textmodels
Type: Package
Title: Scaling Models and Classifiers for Textual Data
Version: 0.9.4
Description: Scaling models and classifiers for sparse matrix objects representing 
    textual data in the form of a document-feature matrix.  Includes original 
    implementations of 'Laver', 'Benoit', and Garry's (2003) <doi:10.1017/S0003055403000698>,
    'Wordscores' model, Perry and 'Benoit's' (2017) <arXiv:1710.08963> class affinity scaling model, 
    and 'Slapin' and 'Proksch's' (2008) <doi:10.1111/j.1540-5907.2008.00338.x> 'wordfish'
    model, as well as methods for correspondence analysis, latent semantic analysis,
    and fast Naive Bayes and linear 'SVMs' specially designed for sparse textual data.
Authors@R: c( 
    person("Kenneth", "Benoit", email = "kbenoit@lse.ac.uk", role = c("cre", "aut", "cph"), comment = c(ORCID = "0000-0002-0797-564X")), 
    person("Kohei", "Watanabe", email = "watanabe.kohei@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-6519-5265")), 
    person("Haiyan", "Wang", email = "whyinsa@yahoo.com", role = "aut", comment = c(ORCID = "0000-0003-4992-4311")),
    person("Patrick O.", "Perry", email = "patperry@gmail.com", role = "aut", comment = c(ORCID = "0000-0001-7460-127X")),
    person("Benjamin", "Lauderdale", email = "b.e.lauderdale@lse.ac.uk", role = "aut", comment = c(ORCID = "0000-0003-3090-0969")),    
    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"),
    person("European Research Council", role = "fnd", comment = "ERC-2011-StG 283794-QUANTESS")
    )
Depends: R (>= 3.1.0), methods
Imports: glmnet, LiblineaR, Matrix (>= 1.2), quanteda (>= 2.0),
        RSpectra, Rcpp (>= 0.12.12), RcppParallel, SparseM, stringi
Suggests: ca, covr, fastNaiveBayes, knitr, lsa, microbenchmark,
        naivebayes, quanteda.textplots, spelling, testthat, rmarkdown
LinkingTo: Rcpp, RcppParallel, RcppArmadillo (>= 0.7.600.1.0), quanteda
URL: https://github.com/quanteda/quanteda.textmodels
License: GPL-3
Encoding: UTF-8
LazyData: true
Language: en-GB
RoxygenNote: 7.1.1
SystemRequirements: C++11
Collate: 'RcppExports.R' 'quanteda.textmodels-package.R'
        'data-documentation.R' 'textmodel-methods.R'
        'textmodel_affinity.R' 'textmodel_ca.R' 'textmodel_lsa.R'
        'textmodel_lr.R' 'textmodel_nb.R' 'textmodel_svm.R'
        'textmodel_svmlin.R' 'textmodel_wordfish.R'
        'textmodel_wordscores.R' 'textplot_influence.R' 'utils.R'
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-03-30 08:24:43 UTC; kbenoit
Author: Kenneth Benoit [cre, aut, cph]
    (<https://orcid.org/0000-0002-0797-564X>),
  Kohei Watanabe [aut] (<https://orcid.org/0000-0001-6519-5265>),
  Haiyan Wang [aut] (<https://orcid.org/0000-0003-4992-4311>),
  Patrick O. Perry [aut] (<https://orcid.org/0000-0001-7460-127X>),
  Benjamin Lauderdale [aut] (<https://orcid.org/0000-0003-3090-0969>),
  Johannes Gruber [aut] (<https://orcid.org/0000-0001-9177-1772>),
  William Lowe [aut] (<https://orcid.org/0000-0002-1549-6163>),
  Vikas Sindhwani [cph] (authored svmlin C++ source code),
  European Research Council [fnd] (ERC-2011-StG 283794-QUANTESS)
Maintainer: Kenneth Benoit <kbenoit@lse.ac.uk>
Repository: CRAN
Date/Publication: 2021-04-06 07:30:09 UTC
Built: R 3.6.3; x86_64-w64-mingw32; 2021-05-06 02:46:41 UTC; windows
Archs: x64
