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_0.55.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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:

openmp

4.60 score 4 stars 1 packages 50 scripts 1.3k downloads 3 exports 0 dependencies

Last updated from:4dc3a4e230. Checks:11 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	ERROR	101
linux-devel-x86_64	ERROR	104
source / vignettes	OK	143
linux-release-arm64	ERROR	96
linux-release-x86_64	ERROR	100
macos-release-arm64	ERROR	66
macos-release-x86_64	ERROR	227
macos-oldrel-arm64	ERROR	69
macos-oldrel-x86_64	ERROR	121
windows-devel	ERROR	69
windows-release	ERROR	58
windows-oldrel	ERROR	77
wasm-release	OK	80