Package: gkmSVM 0.83.0

gkmSVM: Gapped-Kmer Support Vector Machine

Imports the 'gkmSVM' v2.0 functionalities into R <https://www.beerlab.org/gkmsvm/> It also uses the 'kernlab' library (separate R package by different authors) for various SVM algorithms. Users should note that the suggested packages 'rtracklayer', 'GenomicRanges', 'BSgenome', 'BiocGenerics', 'Biostrings', 'GenomeInfoDb', 'IRanges', and 'S4Vectors' are all BioConductor packages <https://bioconductor.org>.

Authors:Mahmoud Ghandi

gkmSVM_0.83.0.tar.gz
gkmSVM_0.83.0.zip(r-4.7)gkmSVM_0.83.0.zip(r-4.6)gkmSVM_0.83.0.zip(r-4.5)
gkmSVM_0.83.0.tgz(r-4.6-x86_64)gkmSVM_0.83.0.tgz(r-4.6-arm64)gkmSVM_0.83.0.tgz(r-4.5-x86_64)gkmSVM_0.83.0.tgz(r-4.5-arm64)
gkmSVM_0.83.0.tar.gz(r-4.7-arm64)gkmSVM_0.83.0.tar.gz(r-4.7-x86_64)gkmSVM_0.83.0.tar.gz(r-4.6-arm64)gkmSVM_0.83.0.tar.gz(r-4.6-x86_64)
gkmSVM_0.83.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
gkmSVM/json (API)

# Install 'gkmSVM' in R:
install.packages('gkmSVM', repos = c('https://mbeer3.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • 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.

cpp

2.56 score 36 scripts 253 downloads 15 mentions 6 exports 17 dependencies

Last updated from:e7b29da8ef. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK284
linux-devel-x86_64OK306
source / vignettesOK329
linux-release-arm64OK313
linux-release-x86_64OK328
macos-release-arm64OK218
macos-release-x86_64OK426
macos-oldrel-arm64OK204
macos-oldrel-x86_64OK557
windows-develOK246
windows-releaseOK288
windows-oldrelOK312
wasm-releaseOK289

Exports:genNullSeqsgkmsvm_classifygkmsvm_deltagkmsvm_kernelgkmsvm_traingkmsvm_trainCV

Dependencies:ade4bitopscaToolsgplotsgtoolskernlabKernSmoothlatticeMASSnlmepixmapRcppRcppArmadilloROCRsegmentedseqinrsp