Package: occupationMeasurement
Title: Interactively Measure Occupations in Interviews and Beyond
Version: 0.3.2
Authors@R: c(
        person(
            "Jan", "Simson", ,
            "jan.simson@lmu.de",
            role = c("aut", "cre"),
            comment = c(ORCID = "0000-0002-9406-7761")
        ),
        person(
            "Olga", "Kononykhina", ,
            "olga.kononykhina@stat.uni-muenchen.de",
            role = c("aut")
        ),
        person(
            "Malte", "Schierholz", ,
            "malte.schierholz@stat.uni-muenchen.de",
            role = c("aut", "cph"),
            comment = c(ORCID = "0000-0003-4058-1543")
        )
    )
Description: Perform interactive occupation coding during interviews as
    described in Peycheva, D., Sakshaug, J., Calderwood, L. (2021) <doi:10.2478/jos-2021-0042>
    and Schierholz, M., Gensicke, M., Tschersich, N., Kreuter, F. (2018) <doi:10.1111/rssa.12297>.
    Generate suggestions for occupational categories based on free text
    input, with pre-trained machine learning models in German and a ready-to-use
    shiny application provided for quick and easy data collection.
License: MIT + file LICENSE
URL: https://occupationMeasurement.github.io/occupationMeasurement/,
        https://github.com/occupationMeasurement/occupationMeasurement
BugReports: https://github.com/occupationMeasurement/occupationMeasurement/issues
Encoding: UTF-8
RoxygenNote: 7.2.1
Imports: data.table (>= 1.14.2), digest, shiny (>= 1.7.1), stringdist
        (>= 0.9.8), stringr (>= 1.4.0), text2vec (>= 0.6.1), tm (>=
        0.7.8)
Suggests: plumber, knitr, mvtnorm, callr, devtools, httr, sessioninfo,
        shinytest2, testthat, withr
Depends: R (>= 4.1)
LazyData: true
VignetteBuilder: knitr
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2023-09-27 12:15:13 UTC; jan
Author: Jan Simson [aut, cre] (<https://orcid.org/0000-0002-9406-7761>),
  Olga Kononykhina [aut],
  Malte Schierholz [aut, cph] (<https://orcid.org/0000-0003-4058-1543>)
Maintainer: Jan Simson <jan.simson@lmu.de>
Repository: CRAN
Date/Publication: 2023-09-27 13:40:02 UTC
Built: R 4.6.0; ; 2026-04-13 03:17:37 UTC; windows
