Package: HiDimDA 0.2-6
Antonio Pedro Duarte Silva
HiDimDA: High Dimensional Discriminant Analysis
Performs linear discriminant analysis in high dimensional problems based on reliable covariance estimators for problems with (many) more variables than observations. Includes routines for classifier training, prediction, cross-validation and variable selection.
Authors:
HiDimDA_0.2-6.tar.gz
HiDimDA_0.2-6.tar.gz(r-4.5-noble)HiDimDA_0.2-6.tar.gz(r-4.4-noble)
HiDimDA_0.2-6.tgz(r-4.4-emscripten)HiDimDA_0.2-6.tgz(r-4.3-emscripten)
HiDimDA.pdf |HiDimDA.html✨
HiDimDA/json (API)
# Install 'HiDimDA' in R: |
install.packages('HiDimDA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- AlonDS - Alon Colon Cancer Data Set
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:c29d38ae10. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 24 2024 |
R-4.5-linux-x86_64 | NOTE | Aug 24 2024 |
Exports:-.DMat-.ShrnkMat-.ShrnkMatInv-.SigFq-.SigFqInv*.DMat*.ShrnkMat*.ShrnkMatInv*.SigFq*.SigFqInv/.DMat/.ShrnkMat/.ShrnkMatInv/.SigFq/.SigFqInv+.DMat+.ShrnkMat+.ShrnkMatInv+.SigFq+.SigFqInvas.matrix.DMatas.matrix.ShrnkMatas.matrix.ShrnkMatInvas.matrix.SigFqas.matrix.SigFqInvcoef.canldaRescoef.clldaResCovECovE.RFcanldaCovE.RFclldaCovE.ScanldaCovE.SclldaDACrossValDldaDlda.data.frameDlda.defaultDMatForbSigapForbSigap1FrobSigApFrobSigAp1ICovEICovE.RFcanldaICovE.RFclldaICovE.ScanldaICovE.Sclldais.Dldais.DMatis.Mldais.RFldais.ShrnkMatis.ShrnkMatInvis.SigFqis.SigFqInvis.SldaLeftMultLeftMult.DMatLeftMult.matrixLeftMult.ShrnkMatLeftMult.ShrnkMatInvLeftMult.SigFqLeftMult.SigFqInvMldaMlda.data.frameMlda.defaultMldaInvEpredict.canldaRespredict.clldaResprint.canldaResprint.clldaResprint.DMatprint.ShrnkMatprint.ShrnkMatInvprint.SigFqprint.SigFqInvRFldaRFlda.data.frameRFlda.defaultRightMultRightMult.DMatRightMult.matrixRightMult.ShrnkMatRightMult.ShrnkMatInvRightMult.SigFqRightMult.SigFqInvSelectVShrnkMatShrnkMatInvShrnkSigESigFqSigFqInvSldaSlda.data.frameSlda.defaultsolve.DMatsolve.ShrnkMatsolve.ShrnkMatInvsolve.SigFqsolve.SigFqInv
Dependencies: