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mtscr: Multidimensional Top Scoring for Creativity Research

Implementation of Multidimensional Top Scoring method for creativity assessment proposed in Boris Forthmann, Maciej Karwowski, Roger E. Beaty (2023) <doi:10.1037/aca0000571>.

Version: 1.0.1
Depends: R (≥ 4.1.0)
Imports: broom.mixed, cli, dplyr (≥ 1.1.0), glmmTMB, glue, lifecycle, methods, purrr, readr, rlang (≥ 0.4.11), stringr, tibble
Suggests: shiny, covr, datamods, DT, roxygen2, shinyWidgets, testthat (≥ 3.0.0), withr, writexl
Published: 2023-10-27
Author: Jakub Jędrusiak ORCID iD [aut, cre, cph] (University of Wrocław), Boris Forthmann ORCID iD [aut, rev] (University of Münster), Roger E. Beaty ORCID iD [aut] (Pennsylvania State University), Maciej Karwowski ORCID iD [aut] (University of Wrocław)
Maintainer: Jakub Jędrusiak <kuba23031999 at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Citation: mtscr citation info
Materials: README NEWS
CRAN checks: mtscr results

Documentation:

Reference manual: mtscr.pdf

Downloads:

Package source: mtscr_1.0.1.tar.gz
Windows binaries: r-devel: mtscr_1.0.1.zip, r-release: mtscr_1.0.1.zip, r-oldrel: mtscr_1.0.1.zip
macOS binaries: r-release (arm64): mtscr_1.0.1.tgz, r-oldrel (arm64): mtscr_1.0.1.tgz, r-release (x86_64): mtscr_1.0.1.tgz, r-oldrel (x86_64): mtscr_1.0.1.tgz
Old sources: mtscr archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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