Package: ORION 1.1.1

ORION: Ordinal Relations

Functions to handle ordinal relations reflected within the feature space. Those function allow to search for ordinal relations in multi-class datasets. One can check whether proposed relations are reflected in a specific feature representation. Furthermore, it provides functions to filter, organize and further analyze those ordinal relations.

Authors:L Lausser [aut], LM Schaefer [aut], R Szekely [aut], A Stolnicu [aut], HA Kestler [aut, cre]

ORION_1.1.1.tar.gz
ORION_1.1.1.zip(r-4.7)ORION_1.1.1.zip(r-4.6)ORION_1.1.1.zip(r-4.5)
ORION_1.1.1.tgz(r-4.6-x86_64)ORION_1.1.1.tgz(r-4.6-arm64)ORION_1.1.1.tgz(r-4.5-x86_64)ORION_1.1.1.tgz(r-4.5-arm64)
ORION_1.1.1.tar.gz(r-4.7-arm64)ORION_1.1.1.tar.gz(r-4.7-x86_64)ORION_1.1.1.tar.gz(r-4.6-arm64)ORION_1.1.1.tar.gz(r-4.6-x86_64)
ORION_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ORION/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.62 score 21 scripts 191 downloads 45 mentions 17 exports 17 dependencies

Last updated from:e3246091d7. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK257
linux-devel-x86_64OK228
source / vignettesOK300
linux-release-arm64OK202
linux-release-x86_64OK185
macos-release-arm64OK121
macos-release-x86_64OK449
macos-oldrel-arm64OK134
macos-oldrel-x86_64OK230
windows-develOK160
windows-releaseOK150
windows-oldrelOK156
wasm-releaseOK104

Exports:as.edgedataframeas.subcascadesconfconfusionTabledropSetsdropSizedropThresholdgenerateGraphsgroupwisekeepSetskeepSizekeepThresholdmergeSubcascadespredictionMapprojectDatasubcascadestunePareto.occ

Dependencies:classclicodetoolse1071foreachglueiteratorslifecyclemagrittrMASSplotrixproxyrlangstringistringrTuneParetovctrs

ORION Package Vignette

LM Schäfer, R Szekely, L Lausser, HA Kestler

Rendered fromORION.Rmdusingknitr::rmarkdownon May 13 2026.

Last update: 2022-02-07
Started: 2020-05-11

Readme and manuals

Help Manual

Help pageTopics
ORION: Example PackageORION-package ORION
Coerce to an Edge Listas.edgedataframe
Coerce to a Subcascades Objectas.subcascades
Construction of Binary Classifier Sensitivitiesconf
Construction of a Confusion TableconfusionTable
Filter out SubcascadesdropSets
Filters for sizedropSize
Exclude Cascades Based on ThresholddropThreshold
ESL Datasetesl
ESL Datasetesl_org
Generate a dot string graph for the obtained cascades/subcascadesgenerateGraphs
Coerce to a Groupwise objectgroupwise
Filter SubcascadeskeepSets
Filter for SizekeepSize
Filters for ThresholdkeepThreshold
Merge SubcascadesmergeSubcascades
non-ordinal datanonOrdinalData
ordinal dataordinalData
Base Classifier Performance Heatmapplot.Conf
Extended Confusion Table Plotplot.ConfusionTable
Heatmap of a Groupwise Objectplot.Groupwise
Heatmap of a PredictionMap Objectplot.PredictionMap
Heatmap of a Subcascades Objectplot.Subcascades
Base Classifier Performance HeatmapplotBaseClassifier
Base Classifier Performance HeatmapplotConf
Construction of a Prediction Map ObjectpredictionMap
Prints all details about a Conf object.print.Conf
Prints all details about a ConfusionTable object.print.ConfusionTable
Prints all details about a Groupwise object.print.Groupwise
Prints all details about a PredictionMap object.print.PredictionMap
Prints all details about a Subcascades object.print.Subcascades
1D data projectionprojectData
screening datascreeningData
Subcascades Evaluationsubcascades
Summary of confsummary.Conf
Summary of confusion tablessummary.ConfusionTable
Overview Class Groupssummary.Groupwise
Summary of prediction mapssummary.PredictionMap
Summary Subcascades Characteristicssummary.Subcascades
Occurrence of Classes by SizesummaryClasses
Overview SubcascadessummarySubcascades
Ordinal Classifier Cascade Tune Pareto ObjecttunePareto.occ