letsR: Data Handling and Analysis in Macroecology

Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi:10.1111/2041-210X.12401> for details.

Version: 5.0
Depends: R (≥ 3.1.0), terra, grDevices, graphics, methods, stats
Imports: geosphere, sf
Suggests: testthat, devtools, knitr, rmarkdown, dplyr, kableExtra, ggplot2
Published: 2023-11-23
DOI: 10.32614/CRAN.package.letsR
Author: Bruno Vilela ORCID iD [aut, cre], Fabricio Villalobos ORCID iD [aut]
Maintainer: Bruno Vilela <bvilela.bv at gmail.com>
BugReports: https://github.com/macroecology/letsR/issues
License: GPL-2
URL: https://besjournals.onlinelibrary.wiley.com/doi/full/10.1111/2041-210X.12401, https://github.com/macroecology/letsR, https://brunovilela.github.io/letsR/
NeedsCompilation: no
Citation: letsR citation info
Materials: README
CRAN checks: letsR results

Documentation:

Reference manual: letsR.pdf
Vignettes: A-guide-to-transform-species-distributions-into-a-presence-absence-matrix-based
Adding-variables-to-a-presenceabsence-object
cropping-and-subseting-your-presence-absence-matrix
mapping-species-traits
save-load-presenceabsence
species-level-macroecological-analysis

Downloads:

Package source: letsR_5.0.tar.gz
Windows binaries: r-devel: letsR_5.0.zip, r-release: letsR_5.0.zip, r-oldrel: letsR_5.0.zip
macOS binaries: r-release (arm64): letsR_5.0.tgz, r-oldrel (arm64): letsR_5.0.tgz, r-release (x86_64): letsR_5.0.tgz, r-oldrel (x86_64): letsR_5.0.tgz
Old sources: letsR archive

Linking:

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