Package: mtscr 2.0.0

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>.

Authors:Jakub Jędrusiak [aut, cre, cph], Boris Forthmann [aut, rev], Roger E. Beaty [aut], Maciej Karwowski [aut]

mtscr_2.0.0.tar.gz
mtscr_2.0.0.zip(r-4.7)mtscr_2.0.0.zip(r-4.6)mtscr_2.0.0.zip(r-4.5)
mtscr_2.0.0.tgz(r-4.6-any)mtscr_2.0.0.tgz(r-4.5-any)
mtscr_2.0.0.tar.gz(r-4.7-any)mtscr_2.0.0.tar.gz(r-4.6-any)
mtscr_2.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mtscr/json (API)
NEWS

# Install 'mtscr' in R:
install.packages('mtscr', repos = c('https://jakub-jedrusiak.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/jakub-jedrusiak/mtscr/issues

Datasets:

On CRAN:

Conda:

creativitypsychologypsychometrics

3.60 score 1 scripts 636 downloads 6 exports 84 dependencies

Last updated from:c408e475a0. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK184
source / vignettesOK213
linux-release-x86_64OK165
macos-release-arm64OK84
macos-oldrel-arm64OK126
windows-develOK110
windows-releaseOK87
windows-oldrelOK112
wasm-releaseOK136

Exports:mtscrmtscr_appmtscr_modelmtscr_model_summarymtscr_scoretop_scoring

Dependencies:backportsbitbit64bootbroombroom.mixedclicliprcodacodetoolscolorspacecowplotcpp11crayonDerivdigestdoBydplyrfarverforcatsforecastfracdifffurrrfuturegenericsggplot2glmmTMBglobalsgluegtablehmsisobandlabelinglatticelifecyclelistenvlme4lmtestmagrittrMASSMatrixmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivparallellypbkrtestpillarpkgconfigprettyunitsprogresspurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasrlangS7sandwichscalesstringistringrtibbletidyrtidyselecttimeDateTMBtzdburcautf8vctrsviridisLitevroomwithrzoo