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: 4.0
Depends: R (≥ 3.1.0), raster, maps
Imports: XML, geosphere, fields, maptools, sp, rgdal, rgeos, methods
Suggests: testthat, devtools
Published: 2020-10-26
Author: Bruno Vilela & Fabricio Villalobos
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/abs/10.1111/2041-210X.12401, https://github.com/macroecology/letsR
NeedsCompilation: no
Citation: letsR citation info
Materials: README
CRAN checks: letsR results


Reference manual: letsR.pdf


Package source: letsR_4.0.tar.gz
Windows binaries: r-devel: letsR_4.0.zip, r-release: letsR_4.0.zip, r-oldrel: letsR_4.0.zip
macOS binaries: r-release (arm64): letsR_4.0.tgz, r-oldrel (arm64): letsR_4.0.tgz, r-release (x86_64): letsR_4.0.tgz, r-oldrel (x86_64): letsR_4.0.tgz
Old sources: letsR archive


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