spectre: Predict Regional Community Composition

Predict regional community composition at a fine spatial resolution using only sparse biological and environmental data. The package is based on the DynamicFOAM algorithm described in Mokany et al. (2011) <doi:10.1111/j.1461-0248.2011.01675.x>.

Version: 1.0.2
Depends: R (≥ 3.5)
Imports: ggplot2, Rcpp (≥ 1.0.1)
LinkingTo: Rcpp, RcppProgress, testthat
Suggests: dplyr, testthat (≥ 3.0.2), knitr, rmarkdown, covr, RcppProgress
Published: 2021-07-17
Author: Craig Simpkins [aut, cre], Sebastian Hanss [aut], Maximilian Hesselbarth [aut], Matthias Spangenberg [aut], Jan Salecker [aut]
Maintainer: Craig Simpkins <simpkinscraig063 at gmail.com>
License: GPL-3
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README NEWS
CRAN checks: spectre results

Documentation:

Reference manual: spectre.pdf
Vignettes: Getting started with 'spectre'
Minimal example

Downloads:

Package source: spectre_1.0.2.tar.gz
Windows binaries: r-devel: spectre_1.0.2.zip, r-devel-UCRT: spectre_1.0.2.zip, r-release: spectre_1.0.2.zip, r-oldrel: spectre_1.0.2.zip
macOS binaries: r-release (arm64): spectre_1.0.2.tgz, r-release (x86_64): spectre_1.0.2.tgz, r-oldrel: spectre_1.0.2.tgz
Old sources: spectre archive

Linking:

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