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:Tristan Mahr [aut, cre]

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-4.5-any)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

On CRAN:

1.70 score 1 stars 3 scripts 10 exports 90 dependencies

Last updated 4 years agofrom:b6c566d17b. Checks:1 OK, 7 WARNING. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 07 2025
R-4.5-winWARNINGFeb 07 2025
R-4.5-macWARNINGFeb 07 2025
R-4.5-linuxWARNINGFeb 07 2025
R-4.4-winWARNINGFeb 07 2025
R-4.4-macWARNINGFeb 07 2025
R-4.3-winWARNINGFeb 07 2025
R-4.3-macWARNINGFeb 07 2025

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.mixedbslibcachemclicodacodetoolscolorspacecommonmarkcpp11crayondatawizarddigestdplyrevaluatefansifarverfastmapflexdashboardfontawesomeforcatsfsfurrrfuturegenericsglobalsgluehighrhtmltoolshtmlwidgetshttpuvinsightirrjquerylibjsonliteknitrlabelinglaterlatticelifecyclelistenvlme4lpSolvemagrittrMASSMatrixmemoisemimeminqamunsellnlmenloptrparallellyparameterspillarpkgconfigprintypromisespurrrR6rappdirsrbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangrmarkdownsassscalesshinysourcetoolsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml