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The goal of this collection of functions is to provide an easy to use tool for the measurement of foraminifera and other unicellulars organisms size. With functions developed to guide foraminiferal test biovolume calculations and cell biomass estimations. The volume function includes several microalgae models geometric adaptations based on Hillebrand et al. (1999) <doi:10.1046/j.1529-8817.1999.3520403.x>, Sun and Liu (2003) <doi:10.1093/plankt/fbg096> and Vadrucci, Cabrini and Basset (2007) <doi:10.1285/i1825229Xv1n2p83>.
| Version: | 0.1.0 |
| Depends: | R (≥ 3.2.0) |
| Imports: | dplyr, magrittr, tibble, reticulate |
| Suggests: | knitr, rmarkdown, data.table, xml2, raster, testthat (≥ 2.1.0) |
| Published: | 2021-03-02 |
| Author: | Thaise R Freitas [aut, cre], Eduardo Bacalhau [aut], Carla Bonetti [aut] |
| Maintainer: | Thaise R Freitas <thaisericardo.freitas at gmail.com> |
| BugReports: | https://github.com/ThaiseRF/forImage/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/ThaiseRF/forImage |
| NeedsCompilation: | no |
| SystemRequirements: | Python >=3.5, numpy ( >= 1.18.1), imutils ( >= 0.5.3), scipy ( >= 1.4.1), pandas ( >= 1.0.2), Pillow ( >= 7.0.0), opencv ( >= 4.1.2) |
| Materials: | README |
| CRAN checks: | forImage results |
| Reference manual: | forImage.pdf |
| Vignettes: |
Getting started with forImage R package |
| Package source: | forImage_0.1.0.tar.gz |
| Windows binaries: | r-devel: forImage_0.1.0.zip, r-release: forImage_0.1.0.zip, r-oldrel: forImage_0.1.0.zip |
| macOS binaries: | r-release (arm64): forImage_0.1.0.tgz, r-oldrel (arm64): forImage_0.1.0.tgz, r-release (x86_64): forImage_0.1.0.tgz, r-oldrel (x86_64): forImage_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=forImage to link to this page.
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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