shar: Species-Habitat Associations

Analyse species-habitat associations in R. Therefore, information about the location of the species is needed and about the environmental conditions. To test for significance habitat associations, one of the two components is randomized. Methods are mainly based on Plotkin et al. (2000) <doi:10.1006/jtbi.2000.2158> and Harms et al. (2001) <doi:10.1111/j.1365-2745.2001.00615.x>.

Version: 1.0.1
Depends: R (≥ 3.1)
Imports: classInt, graphics, grDevices, methods, raster, spatstat, stats, utils, Rcpp
LinkingTo: Rcpp
Suggests: covr, dplyr, testthat (≥ 2.1.0), knitr, rmarkdown
Published: 2019-09-10
Author: Maximillian H.K. Hesselbarth ORCID iD [aut, cre], Marco Sciaini ORCID iD [aut]
Maintainer: Maximillian H.K. Hesselbarth <maximilian.hesselbarth at uni-goettingen.de>
BugReports: https://github.com/r-spatialecology/shar/issues
License: GPL-3
URL: https://r-spatialecology.github.io/shar
NeedsCompilation: yes
Materials: NEWS
CRAN checks: shar results

Downloads:

Reference manual: shar.pdf
Vignettes: Get started
Package source: shar_1.0.1.tar.gz
Windows binaries: r-devel: shar_1.0.1.zip, r-release: shar_1.0.1.zip, r-oldrel: shar_1.0.1.zip
OS X binaries: r-release: shar_1.0.1.tgz, r-oldrel: shar_1.0.1.tgz
Old sources: shar archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=shar to link to this page.