Package: meanShiftR 0.55

meanShiftR: A Computationally Efficient Mean Shift Implementation

Performs mean shift classification using linear and k-d tree based nearest neighbor implementations for the Gaussian, Epanechnikov, and biweight product kernels.

Authors:Jonathan Lisic [aut, cre]

meanShiftR_0.55.tar.gz
meanShiftR_0.55.zip(r-4.5)meanShiftR_0.55.zip(r-4.4)meanShiftR_0.55.zip(r-4.3)
meanShiftR_0.55.tgz(r-4.4-x86_64)meanShiftR_0.55.tgz(r-4.4-arm64)meanShiftR_0.55.tgz(r-4.3-x86_64)meanShiftR_0.55.tgz(r-4.3-arm64)
meanShiftR_0.55.tar.gz(r-4.5-noble)meanShiftR_0.55.tar.gz(r-4.4-noble)
meanShiftR_0.55.tgz(r-4.4-emscripten)meanShiftR_0.55.tgz(r-4.3-emscripten)
meanShiftR.pdf |meanShiftR.html✨
meanShiftR/json (API)

# Install 'meanShiftR' in R:
install.packages('meanShiftR', repos = c('https://jlisic.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jlisic/meanshiftr/issues

Uses libs:
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

3 exports 4 stars 1.12 score 0 dependencies 31 scripts 422 downloads

Last updated 3 years agofrom:4dc3a4e230. Checks:OK: 1 ERROR: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 15 2024
R-4.5-win-x86_64ERRORSep 15 2024
R-4.5-linux-x86_64ERRORSep 15 2024
R-4.4-win-x86_64ERRORSep 15 2024
R-4.4-mac-x86_64ERRORSep 15 2024
R-4.4-mac-aarch64ERRORSep 15 2024
R-4.3-win-x86_64ERRORSep 15 2024
R-4.3-mac-x86_64ERRORSep 15 2024
R-4.3-mac-aarch64ERRORSep 15 2024

Exports:dfToSparseknn_meanShiftmeanShift

Dependencies: