Package: ORION 1.0.3

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, LM Schaefer, R Szekely, HA Kestler

ORION_1.0.3.tar.gz
ORION_1.0.3.zip(r-4.5)ORION_1.0.3.zip(r-4.4)ORION_1.0.3.zip(r-4.3)
ORION_1.0.3.tgz(r-4.4-arm64)ORION_1.0.3.tgz(r-4.4-x86_64)ORION_1.0.3.tgz(r-4.3-x86_64)ORION_1.0.3.tgz(r-4.3-arm64)
ORION_1.0.3.tar.gz(r-4.5-noble)ORION_1.0.3.tar.gz(r-4.4-noble)
ORION_1.0.3.tgz(r-4.4-emscripten)ORION_1.0.3.tgz(r-4.3-emscripten)
ORION.pdf |ORION.html
ORION/json (API)
NEWS

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

Peer review:

Datasets:

On CRAN:

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

15 exports 4.55 score 43 dependencies 45 mentions 16 scripts 255 downloads

Last updated 3 years agofrom:fbad4c398d. Checks:OK: 7 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 27 2024
R-4.5-win-x86_64NOTEAug 27 2024
R-4.5-linux-x86_64NOTEAug 27 2024
R-4.4-win-x86_64OKAug 27 2024
R-4.4-mac-aarch64OKAug 27 2024
R-4.4-mac-x86_64OKJul 28 2024
R-4.3-win-x86_64OKAug 27 2024
R-4.3-mac-x86_64OKAug 27 2024
R-4.3-mac-aarch64OKJul 28 2024

Exports:as.edgedataframeas.subcascadesconfconfusionTabledropSetsdropSizedropThresholdgroupwisekeepSetskeepSizekeepThresholdmergeSubcascadespredictionMapsubcascadestunePareto.occ

Dependencies:base64encbslibcachemclassclicodetoolscpp11digestdoParallele1071evaluatefastmapfontawesomeforeachfsgluehighrhtmltoolsigraphiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrMASSMatrixmemoisemimepkgconfigproxyR6randomForestrappdirsrlangrmarkdownsasstinytexTuneParetovctrsxfunyaml

ORION Package Vignette

Rendered fromORION.Rmdusingknitr::rmarkdownon Aug 27 2024.

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

Readme and manuals

Help Manual

Help pageTopics
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
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
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