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crookR: Synthetic Crook Deformations in Stem Point Clouds

Simulates parameterized single- and double-directional stem deformations in tree point clouds derived from terrestrial or mobile laser scanning, enabling the generation of realistic synthetic datasets for training and validating machine learning models in wood defect detection, quality assessment, and precision forestry. For more details see Pires (2025) <doi:10.54612/a.7hln0kr0ta>.

Version: 0.1.0
Depends: R (≥ 4.2)
Imports: data.table, stats, utils
Suggests: knitr, lidR, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2025-11-03
DOI: 10.32614/CRAN.package.crookR (may not be active yet)
Author: Raul de Paula Pires ORCID iD [aut, cre]
Maintainer: Raul de Paula Pires <rauldepaulapires at gmail.com>
BugReports: https://github.com/raudep/crookR/issues
License: MIT + file LICENSE
URL: https://github.com/raudep/crookR
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: crookR results

Documentation:

Reference manual: crookR.html , crookR.pdf
Vignettes: Simulating Crook Deformations (source, R code)

Downloads:

Package source: crookR_0.1.0.tar.gz
Windows binaries: r-devel: crookR_0.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): crookR_0.1.0.tgz, r-oldrel (arm64): crookR_0.1.0.tgz, r-release (x86_64): crookR_0.1.0.tgz, r-oldrel (x86_64): crookR_0.1.0.tgz

Linking:

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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.