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Single linkage clustering and connected component analyses are often performed on biological images. 'Bioi' provides a set of functions for performing these tasks. This functionality is implemented in several key functions that can extend to from 1 to many dimensions. The single linkage clustering method implemented here can be used on n-dimensional data sets, while connected component analyses are limited to 3 or fewer dimensions.
| Version: | 0.2.10 |
| Depends: | R (≥ 3.3.0) |
| Imports: | Rcpp (≥ 0.12.13), assertthat (≥ 0.2.0), dplyr (≥ 0.7.4), igraph |
| LinkingTo: | Rcpp |
| Suggests: | knitr, rmarkdown, ggplot2, testthat (≥ 2.0.0) |
| Published: | 2019-12-08 |
| Author: | Zachary Colburn |
| Maintainer: | Zachary Colburn <zcolburn at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | README NEWS |
| CRAN checks: | Bioi results |
| Reference manual: | Bioi.pdf |
| Vignettes: |
Bioi |
| Package source: | Bioi_0.2.10.tar.gz |
| Windows binaries: | r-devel: Bioi_0.2.10.zip, r-release: Bioi_0.2.10.zip, r-oldrel: Bioi_0.2.10.zip |
| macOS binaries: | r-release (arm64): Bioi_0.2.10.tgz, r-oldrel (arm64): Bioi_0.2.10.tgz, r-release (x86_64): Bioi_0.2.10.tgz, r-oldrel (x86_64): Bioi_0.2.10.tgz |
| Old sources: | Bioi 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.
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