Package: effectclass 0.1.5
effectclass: Classification and Visualisation of Effects
Classify effects by comparing the confidence intervals with thresholds.
Authors:
effectclass_0.1.5.tar.gz
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effectclass.pdf |effectclass.html✨
effectclass/json (API)
NEWS
# Install 'effectclass' in R: |
install.packages('effectclass', repos = c('https://inbo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/inbo/effectclass/issues
Last updated 6 months agofrom:a7aa52cd9b. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 01 2024 |
R-4.5-win | OK | Nov 01 2024 |
R-4.5-linux | OK | Nov 01 2024 |
R-4.4-win | OK | Nov 01 2024 |
R-4.4-mac | OK | Nov 01 2024 |
R-4.3-win | OK | Nov 01 2024 |
R-4.3-mac | OK | Nov 01 2024 |
Exports:add_classificationadd_fanchange_breakschange_labelsclass_labelsclassificationcoarse_classificationformat_ciis_effectclassreference_shapereference_textremove_signscale_effectstat_effectstat_fanStatFanunlist
Dependencies:askpassassertthatbase64encbslibcachemclicolorspacecpp11crosstalkcurldata.tabledigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmeopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesstringistringrsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml
Standardised Classification of Effects Based on Their Uncertainty
Rendered fromclassification.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-10-27
Started: 2020-01-04
Visualising Effects
Rendered fromvisualisation.Rmd
usingknitr::rmarkdown
on Nov 01 2024.Last update: 2023-10-27
Started: 2020-01-04