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Methods for spatial predictive modeling, especially for spatial distribution models. This includes algorithms for model fitting and prediction, as well as methods for model evaluation.
Version: | 0.1-16 |
Depends: | R (≥ 3.5.0), methods, terra |
Suggests: | disdat, rJava |
Published: | 2024-10-07 |
DOI: | 10.32614/CRAN.package.predicts |
Author: | Robert J. Hijmans [cre, aut], Steven Phillips [ctb], Márcia Barbosa [ctb], Chris Brunsdon [ctb], Barry Rowlingson [ctb] |
Maintainer: | Robert J. Hijmans <r.hijmans at gmail.com> |
BugReports: | https://github.com/rspatial/predicts/issues/ |
License: | GPL (≥ 3) |
URL: | https://rspatial.org/sdm/ |
NeedsCompilation: | no |
Materials: | ChangeLog |
CRAN checks: | predicts results |
Reference manual: | predicts.pdf |
Package source: | predicts_0.1-16.tar.gz |
Windows binaries: | r-devel: predicts_0.1-16.zip, r-release: predicts_0.1-16.zip, r-oldrel: predicts_0.1-16.zip |
macOS binaries: | r-release (arm64): predicts_0.1-16.tgz, r-oldrel (arm64): predicts_0.1-16.tgz, r-release (x86_64): predicts_0.1-16.tgz, r-oldrel (x86_64): predicts_0.1-16.tgz |
Old sources: | predicts archive |
Reverse imports: | enmSdmX, phyloregion, red |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.