Welcome to ClientVPS Mirrors

CRAN: Package biopixR

biopixR: Extracting Insights from Biological Images

Combines the 'magick' and 'imager' packages to streamline image analysis, focusing on feature extraction and quantification from biological images, especially microparticles. By providing high throughput pipelines and clustering capabilities, 'biopixR' facilitates efficient insight generation for researchers (Schneider J. et al. (2019) <doi:10.21037/jlpm.2019.04.05>).

Version: 1.2.0
Depends: R (≥ 4.2.0), imager, magick
Imports: data.table, cluster
Suggests: tcltk, knitr, rmarkdown, doParallel, kohonen, imagerExtra, GPareto, foreach
Published: 2024-11-11
DOI: 10.32614/CRAN.package.biopixR
Author: Tim Brauckhoff ORCID iD [aut, cre], Stefan Roediger ORCID iD [ctb], Coline Kieffer [ctb]
Maintainer: Tim Brauckhoff <brauctile at disroot.org>
BugReports: https://github.com/Brauckhoff/biopixR/issues
License: LGPL (≥ 3)
URL: https://github.com/Brauckhoff/biopixR
NeedsCompilation: no
Language: en-US
Materials: README, ChangeLog
CRAN checks: biopixR results

Documentation:

Reference manual: biopixR.html , biopixR.pdf
Vignettes: biopixR - Introduction (source, R code)

Downloads:

Package source: biopixR_1.2.0.tar.gz
Windows binaries: r-devel: biopixR_1.2.0.zip, r-release: biopixR_1.2.0.zip, r-oldrel: biopixR_1.2.0.zip
macOS binaries: r-release (arm64): biopixR_1.2.0.tgz, r-oldrel (arm64): biopixR_1.2.0.tgz, r-release (x86_64): biopixR_1.2.0.tgz, r-oldrel (x86_64): biopixR_1.2.0.tgz
Old sources: biopixR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=biopixR to link to this page.

Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.

This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.