Package: iccbot 0.0.2
iccbot: A 'Shiny' App for ICC Statistics
An interactive dashboard for computing intraclass correlation coefficients to estimate interrater reliability.
Authors:
iccbot_0.0.2.tar.gz
iccbot_0.0.2.zip(r-4.5)iccbot_0.0.2.zip(r-4.4)iccbot_0.0.2.zip(r-4.3)
iccbot_0.0.2.tgz(r-4.4-any)iccbot_0.0.2.tgz(r-4.3-any)
iccbot_0.0.2.tar.gz(r-4.5-noble)iccbot_0.0.2.tar.gz(r-4.4-noble)
iccbot_0.0.2.tgz(r-4.4-emscripten)iccbot_0.0.2.tgz(r-4.3-emscripten)
iccbot.pdf |iccbot.html✨
iccbot/json (API)
NEWS
# Install 'iccbot' in R: |
install.packages('iccbot', repos = c('https://tjmahr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tjmahr/iccbot/issues
Last updated 4 years agofrom:b6c566d17b. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | WARNING | Nov 09 2024 |
R-4.5-linux | WARNING | Nov 09 2024 |
R-4.4-win | WARNING | Nov 09 2024 |
R-4.4-mac | WARNING | Nov 09 2024 |
R-4.3-win | WARNING | Nov 09 2024 |
R-4.3-mac | WARNING | Nov 09 2024 |
Exports:%>%add_formatted_results_to_icccompute_iccdecompose_variance_with_aovdecompose_variance_with_lme4example_shrout_fleissexample_shrout_fleiss_nas_1example_shrout_fleiss_nas_2run_apprun_icc
Dependencies:backportsbase64encbayestestRbootbroombroom.mixedbslibcachemclicodacodetoolscolorspacecommonmarkcpp11crayondatawizarddigestdplyrevaluatefansifarverfastmapflexdashboardfontawesomeforcatsfsfurrrfuturegenericsglobalsgluehighrhtmltoolshtmlwidgetshttpuvinsightirrjquerylibjsonliteknitrlabelinglaterlatticelifecyclelistenvlme4lpSolvemagrittrMASSMatrixmemoisemimeminqamunsellnlmenloptrparallellyparameterspillarpkgconfigprintypromisespurrrR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesshinysourcetoolsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
This is the core of the irr::icc() function | compute_icc |
Run the Shiny Application | run_app |