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
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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'))

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

Uses libs:

openmp– GCC OpenMP (GOMP) support library

On CRAN:

3.92 score 4 stars 42 scripts 380 downloads 3 exports 0 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Nov 14 2024
R-4.5-win-x86_64	ERROR	Nov 14 2024
R-4.5-linux-x86_64	ERROR	Nov 14 2024
R-4.4-win-x86_64	ERROR	Nov 14 2024
R-4.4-mac-x86_64	ERROR	Nov 14 2024
R-4.4-mac-aarch64	ERROR	Nov 14 2024
R-4.3-win-x86_64	ERROR	Nov 14 2024
R-4.3-mac-x86_64	ERROR	Nov 14 2024
R-4.3-mac-aarch64	ERROR	Nov 14 2024