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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 [aut, cre], Stefan Roediger [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 |
Reference manual: | biopixR.pdf |
Vignettes: |
biopixR - Introduction (source, R code) |
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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.