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 [aut, cre], Fabricio Villalobos [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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