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-4.7-x86_64)meanShiftR_0.55.zip(r-4.7-arm64)meanShiftR_0.55.zip(r-4.6-x86_64)meanShiftR_0.55.zip(r-4.6-arm64)meanShiftR_0.55.zip(r-4.5-x86_64)
meanShiftR_0.55.tgz(r-4.6-x86_64)meanShiftR_0.55.tgz(r-4.6-arm64)meanShiftR_0.55.tgz(r-4.5-x86_64)meanShiftR_0.55.tgz(r-4.5-arm64)
meanShiftR_0.55.tar.gz(r-4.7-arm64)meanShiftR_0.55.tar.gz(r-4.7-x86_64)meanShiftR_0.55.tar.gz(r-4.6-arm64)meanShiftR_0.55.tar.gz(r-4.6-x86_64)
meanShiftR_0.55.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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

4.75 score 4 stars 1 packages 58 scripts 1.6k downloads 3 exports 0 dependencies

Last updated from:4dc3a4e230. Checks:13 ERROR, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	ERROR	97
linux-devel-x86_64	ERROR	110
source / vignettes	OK	114
linux-release-arm64	ERROR	93
linux-release-x86_64	ERROR	94
macos-release-arm64	ERROR	70
macos-release-x86_64	ERROR	178
macos-oldrel-arm64	ERROR	87
macos-oldrel-x86_64	ERROR	238
windows-devel-arm64	ERROR	263
windows-devel-x86_64	ERROR	99
windows-release-arm64	ERROR	173
windows-release-x86_64	ERROR	64
windows-oldrel-x86_64	ERROR	68
wasm-release	OK	83