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 |
Reference manual: | spectre.pdf |
Vignettes: |
Getting started with 'spectre' Minimal example |
Package source: | spectre_1.0.2.tar.gz |
Windows binaries: | r-devel: 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-oldrel (arm64): spectre_1.0.2.tgz, r-release (x86_64): spectre_1.0.2.tgz, r-oldrel (x86_64): spectre_1.0.2.tgz |
Old sources: | spectre archive |
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