Package: ddalpha 1.3.16
ddalpha: Depth-Based Classification and Calculation of Data Depth
Contains procedures for depth-based supervised learning, which are entirely non-parametric, in particular the DDalpha-procedure (Lange, Mosler and Mozharovskyi, 2014 <doi:10.1007/s00362-012-0488-4>). The training data sample is transformed by a statistical depth function to a compact low-dimensional space, where the final classification is done. It also offers an extension to functional data and routines for calculating certain notions of statistical depth functions. 50 multivariate and 5 functional classification problems are included. (Pokotylo, Mozharovskyi and Dyckerhoff, 2019 <doi:10.18637/jss.v091.i05>).
Authors:
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ddalpha.pdf |ddalpha.html✨
ddalpha/json (API)
# Install 'ddalpha' in R: |
install.packages('ddalpha', repos = c('https://pokotylo.r-universe.dev', 'https://cloud.r-project.org')) |
- baby - Data for Classification
- banknoten - Data for Classification
- biomed - Data for Classification
- bloodtransfusion - Data for Classification
- breast_cancer_wisconsin - Data for Classification
- bupa - Data for Classification
- chemdiab_1vs2 - Data for Classification
- chemdiab_1vs3 - Data for Classification
- chemdiab_2vs3 - Data for Classification
- cloud - Data for Classification
- crabB_MvsF - Data for Classification
- crabF_BvsO - Data for Classification
- crabM_BvsO - Data for Classification
- crabO_MvsF - Data for Classification
- crab_BvsO - Data for Classification
- crab_MvsF - Data for Classification
- cricket_CvsP - Data for Classification
- diabetes - Data for Classification
- ecoli_cpvsim - Data for Classification
- ecoli_cpvspp - Data for Classification
- ecoli_imvspp - Data for Classification
- gemsen_MvsF - Data for Classification
- geneexp - Gene Expression Profile Data
- glass - Data for Classification
- groessen_MvsF - Data for Classification
- growth - Berkeley Growth Study Data
- haberman - Data for Classification
- heart - Data for Classification
- hemophilia - Data for Classification
- indian_liver_patient_1vs2 - Data for Classification
- indian_liver_patient_FvsM - Data for Classification
- iris_setosavsversicolor - Data for Classification
- iris_setosavsvirginica - Data for Classification
- iris_versicolorvsvirginica - Data for Classification
- irish_ed_MvsF - Data for Classification
- kidney - Data for Classification
- medflies - Relationship of Age Patterns of Fecundity to Mortality for Female Medflies.
- pima - Data for Classification
- plasma_retinol_MvsF - Data for Classification
- population - World Historical Population-by-Country Dataset
- population2010 - World Historical Population-by-Country Dataset
- segmentation - Data for Classification
- socmob_IvsNI - Data for Classification
- socmob_WvsB - Data for Classification
- tae - Data for Classification
- tecator - Functional Data Set Spectrometric Data
- tennis_MvsF - Data for Classification
- tips_DvsN - Data for Classification
- tips_MvsF - Data for Classification
- uscrime_SvsN - Data for Classification
- vertebral_column - Data for Classification
- veteran_lung_cancer - Data for Classification
- vowel_MvsF - Data for Classification
- wine_1vs2 - Data for Classification
- wine_1vs3 - Data for Classification
- wine_2vs3 - Data for Classification
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:36b14b5716. Checks:OK: 3 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 18 2024 |
R-4.5-win-x86_64 | OK | Nov 18 2024 |
R-4.5-linux-x86_64 | OK | Nov 18 2024 |
R-4.4-win-x86_64 | NOTE | Nov 18 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 18 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 18 2024 |
R-4.3-win-x86_64 | NOTE | Nov 18 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 18 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 18 2024 |
Exports:Cmetriccompclassf.classifycompclassf.traindatafdataf.geneexpdataf.growthdataf.medfliesdataf.populationdataf.population2010dataf.sim.1.CFF07dataf.sim.2.CFF07dataf.tecatordataf2rawfdddalpha.classifyddalpha.getErrorRateCVddalpha.getErrorRatePartddalpha.testddalpha.trainddalphaf.classifyddalphaf.getErrorRateCVddalphaf.getErrorRatePartddalphaf.testddalphaf.traindepth.depth.betaSkeletondepth.contoursdepth.contours.ddalphadepth.graphdepth.halfspacedepth.L2depth.Mahalanobisdepth.potentialdepth.projectiondepth.qhpeelingdepth.sampledepth.simplicialdepth.simplicialVolumedepth.space.depth.space.halfspacedepth.space.Mahalanobisdepth.space.potentialdepth.space.projectiondepth.space.simplicialdepth.space.simplicialVolumedepth.space.spatialdepth.space.zonoiddepth.spatialdepth.zonoiddepthf.depthf.ABDdepthf.BDdepthf.fd1depthf.fd2depthf.hMdepthf.hM2depthf.HRdepthf.RP1depthf.RP2depthf.simplicialBandderivatives.estdknn.classifydknn.classify.traineddknn.traindraw.ddplotFKSgetdatainfimalRankis.in.convexL2metriclines.functionalplot.functionalpoints.functionalrawfd2datafresetParshape.fd.analysisshape.fd.outliers
Dependencies:abindBHclassDEoptimRgeometrylinproglpSolvemagicMASSRcppRcppProgressrobustbasesfsmisc