Package: reliabilitydiag 0.2.1.9000

reliabilitydiag: Reliability Diagrams Using Isotonic Regression

Checking the reliability of predictions via the CORP approach, which generates provably statistically 'C'onsistent, 'O'ptimally binned, and 'R'eproducible reliability diagrams using the 'P'ool-adjacent-violators algorithm. See Dimitriadis, Gneiting, Jordan (2021) <doi:10.1073/pnas.2016191118>.

Authors:Timo Dimitriadis [aut], Alexander I. Jordan [aut, cre]

reliabilitydiag_0.2.1.9000.tar.gz
reliabilitydiag_0.2.1.9000.zip(r-4.5)reliabilitydiag_0.2.1.9000.zip(r-4.4)reliabilitydiag_0.2.1.9000.zip(r-4.3)
reliabilitydiag_0.2.1.9000.tgz(r-4.4-any)reliabilitydiag_0.2.1.9000.tgz(r-4.3-any)
reliabilitydiag_0.2.1.9000.tar.gz(r-4.5-noble)reliabilitydiag_0.2.1.9000.tar.gz(r-4.4-noble)
reliabilitydiag_0.2.1.9000.tgz(r-4.4-emscripten)reliabilitydiag_0.2.1.9000.tgz(r-4.3-emscripten)
reliabilitydiag.pdf |reliabilitydiag.html
reliabilitydiag/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/aijordan/reliabilitydiag/issues

Datasets:
  • precip_Niamey_2016 - Precipitation forecasts and observations at Niamey, Niger in July to September 2016

On CRAN:

7 exports 8 stars 1.38 score 72 dependencies 18 scripts 982 downloads

Last updated 2 years agofrom:a3d35725a5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-winOKAug 22 2024
R-4.5-linuxOKAug 22 2024
R-4.4-winOKAug 22 2024
R-4.4-macOKAug 22 2024
R-4.3-winOKAug 22 2024
R-4.3-macOKAug 22 2024

Exports:as.reliabilitydiagautolayerautoplotis.reliabilitydiagmiscalibration_testreliabilitydiagreliabilitydiag0

Dependencies:base64encbdebslibcachemclicolorspacecolourpickercommonmarkcpp11crayondigestdplyrevaluatefansifarverfastmapfontawesomefsgenericsggExtraggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmepillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcpprlangrmarkdownsassscalesshinyshinyjssourcetoolsstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyaml

Readme and manuals

Help Manual

Help pageTopics
Subsetting reliability diagram objects[.reliabilitydiag
Coerce to a reliability diagramas.reliabilitydiag as.reliabilitydiag.data.frame as.reliabilitydiag.default as.reliabilitydiag.reliabilitydiag is.reliabilitydiag
Combining reliability diagram objectsc.reliabilitydiag
Miscalibration Testmiscalibration_test miscalibration_test.numeric miscalibration_test.reliabilitydiag
Plotting reliability diagram objectsautolayer.reliabilitydiag autoplot.reliabilitydiag plot.reliabilitydiag
Precipitation forecasts and observations at Niamey, Niger in July to September 2016precip_Niamey_2016
Printing reliability diagram objectsprint.reliabilitydiag print.summary.reliabilitydiag
Reliability diagram objectreliabilitydiag reliabilitydiag0
Decomposing scores into miscalibration, discrimination and uncertaintysummary.reliabilitydiag