Package: keyATM
Version: 0.4.2
Title: Keyword Assisted Topic Models
Description: Fits keyword assisted topic models (keyATM) using collapsed Gibbs samplers. The keyATM combines the latent dirichlet allocation (LDA) models with a small number of keywords selected by researchers in order to improve the interpretability and topic classification of the LDA. The keyATM can also incorporate covariates and directly model time trends. The keyATM is proposed in Eshima, Imai, and Sasaki (2020) <arXiv:2004.05964>.
Authors@R: c(person("Shusei", "Eshima", email = "shuseieshima@g.harvard.edu", role = c("aut","cre"), comment = c(ORCID = "0000-0003-3613-4046")),
    person("Tomoya", "Sasaki", email = "tomoyas@mit.edu", role = c("aut")),
    person("Kosuke", "Imai", email = "imai@harvard.edu", role = c("aut")),
    person("Chung-hong", "Chan", email = "chainsawtiney@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0002-6232-7530")),
    person(given = "Romain", family = "François", role = "ctb", comment = c(ORCID = "0000-0002-2444-4226")),
    person("William", "Lowe", email = "wlowe@princeton.edu", role = c("ctb")),
    person("Seo-young Silvia", "Kim", email = "sy.silvia.kim@gmail.com", role = c("ctb"), comment = c(ORCID = "0000-0002-8801-9210")))
License: GPL-3
Depends: R (>= 3.6)
Imports: Rcpp (>= 1.0.7), dplyr (>= 1.0.0), fastmap, future.apply,
        ggplot2 (>= 3.4.0), ggrepel, magrittr, Matrix, matrixNormal (>=
        0.1.0), MASS, pgdraw, purrr (>= 1.0.0), quanteda (>= 2.0.0),
        rlang, scales (>= 1.2.1), stats, stringr, tibble, tidyr (>=
        1.0.0)
LinkingTo: Rcpp, RcppEigen, RcppProgress
Suggests: readtext, testthat (>= 2.1.0)
URL: https://keyatm.github.io/keyATM/
Encoding: UTF-8
BugReports: https://github.com/keyATM/keyATM/issues
LazyData: TRUE
RoxygenNote: 7.2.3
SystemRequirements: C++11
NeedsCompilation: yes
Packaged: 2023-01-06 05:47:22 UTC; shusei
Author: Shusei Eshima [aut, cre] (<https://orcid.org/0000-0003-3613-4046>),
  Tomoya Sasaki [aut],
  Kosuke Imai [aut],
  Chung-hong Chan [ctb] (<https://orcid.org/0000-0002-6232-7530>),
  Romain François [ctb] (<https://orcid.org/0000-0002-2444-4226>),
  William Lowe [ctb],
  Seo-young Silvia Kim [ctb] (<https://orcid.org/0000-0002-8801-9210>)
Maintainer: Shusei Eshima <shuseieshima@g.harvard.edu>
Repository: CRAN
Date/Publication: 2023-01-06 18:50:52 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 18:36:29 UTC; windows
Archs: i386, x64
