Package: ProbSVMs 0.1.0

A. Pedro Duarte Silva

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:A. Pedro Duarte Silva [aut, cre]

ProbSVMs_0.1.0.tar.gz
ProbSVMs_0.1.0.tar.gz(r-4.7-arm64)ProbSVMs_0.1.0.tar.gz(r-4.7-x86_64)ProbSVMs_0.1.0.tar.gz(r-4.6-arm64)ProbSVMs_0.1.0.tar.gz(r-4.6-x86_64)
ProbSVMs_0.1.0.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://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

openblascpp

1.00 score 9 exports 27 dependencies

Last updated from:af3a378d7d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK172
linux-devel-x86_64OK170
source / vignettesOK218
linux-release-arm64OK205
linux-release-x86_64OK223
wasm-releaseOK167

Exports:as.ClassProbGetrbfdotSigParmakeKMatplot.ClassProbpredict.kernelSVMpredict.PVMtrainandevalPVMtrainPVMtrainSVM

Dependencies:clicpp11farverggplot2gluegtableisobandkernlablabelinglifecyclelpSolveAPImagrittrMASSplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangS7scalesstringistringrvctrsviridisLitewithr