Package: ProbSVMs 0.2.0
ProbSVMs: Probabilistic Support Vector Machines
Implements kernel-based classification Support Vector Machines with reliable estimated probabilities of class membership. Theoretical support for the functions in this package can be found in Duarte Silva (2025) <doi:10.1016/j.cor.2025.107203>.
Authors:
ProbSVMs_0.2.0.tar.gz
ProbSVMs_0.2.0.zip(r-4.7-x86_64)ProbSVMs_0.2.0.zip(r-4.7-arm64)ProbSVMs_0.2.0.zip(r-4.6-x86_64)ProbSVMs_0.2.0.zip(r-4.6-arm64)ProbSVMs_0.2.0.zip(r-4.5-x86_64)
ProbSVMs_0.2.0.tgz(r-4.6-x86_64)ProbSVMs_0.2.0.tgz(r-4.6-arm64)ProbSVMs_0.2.0.tgz(r-4.5-x86_64)ProbSVMs_0.2.0.tgz(r-4.5-arm64)
ProbSVMs_0.2.0.tar.gz(r-4.7-arm64)ProbSVMs_0.2.0.tar.gz(r-4.7-x86_64)ProbSVMs_0.2.0.tar.gz(r-4.6-arm64)ProbSVMs_0.2.0.tar.gz(r-4.6-x86_64)
ProbSVMs_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ProbSVMs/json (API)
| # Install 'ProbSVMs' in R: |
| install.packages('ProbSVMs', repos = c('https://apedrods.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:05441fdb22. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 149 | ||
| linux-devel-x86_64 | OK | 164 | ||
| source / vignettes | OK | 213 | ||
| linux-release-arm64 | OK | 158 | ||
| linux-release-x86_64 | OK | 157 | ||
| macos-release-arm64 | OK | 124 | ||
| macos-release-x86_64 | OK | 377 | ||
| macos-oldrel-arm64 | OK | 178 | ||
| macos-oldrel-x86_64 | OK | 268 | ||
| windows-devel-arm64 | OK | 260 | ||
| windows-devel-x86_64 | OK | 171 | ||
| windows-release-arm64 | OK | 296 | ||
| windows-release-x86_64 | OK | 176 | ||
| windows-oldrel-x86_64 | OK | 145 | ||
| wasm-release | OK | 148 |
Exports:as.ClassProbGetrbfdotSigParmakeKMatplot.ClassProbpredict.kernelSVMpredict.PVMtrainandevalPVMtrainPVMtrainSVM
Dependencies:clicpp11farverggplot2gluegtableisobandkernlablabelinglifecyclelpSolveAPImagrittrMASSplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangS7scalesstringistringrvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Probabilistic Support Vector Machines | ProbSVMs-package buildgrid Csearch evalPP GausKern GenCrossVFolds is.wholenumber l2norm2 LPdual makeKMat0 MedianDist1Set MedianDist2Sets ProbSVMs sigest1 trainandevalPVM |
| Coerce matrix and data.frames to a 'ClassProb' object | as.ClassProb |
| rbfdot Sigma hyper-parameter | GetrbfdotSigPar |
| making kernal matrices | makeKMat |
| S3 plot method for 'ClassProb' objects | plot.ClassProb |
| S3 predict method for class 'kernelSVM' | predict.kernelSVM |
| S3 predict method for class 'PVM' | predict.PVM |
| Set up optimization parameters. | SetUpOptPar |
| Setting up SVM tuning parameters. | SetUpTunPar |
| Training of Probabilistic Vector Machines | trainPVM |
| Efficient training of (multiclass) kernel-based Support Vector Machines | trainSVM |