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

Documentation:

Reference manual:

letsR.pdf

Downloads:

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

Linking:

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