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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:

Please use the canonical form https://CRAN.R-project.org/package=letsR 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.