[aut, cre],
Patrick Schratz
[aut],
Tobias Herrmann
[aut]Implements spatial error estimation and permutation-based variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap.
| Version: | 3.0.1 |
| Depends: | R (≥ 2.10) |
| Imports: | future, future.apply, graphics, ROCR, stats, stringr |
| Suggests: | knitr, MASS, nnet, parallel, ranger, rmarkdown, rpart, testthat |
| Published: | 2020-05-26 |
| Author: | Alexander Brenning
[aut, cre],
Patrick Schratz
[aut],
Tobias Herrmann
[aut] |
| Maintainer: | Alexander Brenning <alexander.brenning at uni-jena.de> |
| BugReports: | https://github.com/giscience-fsu/sperrorest/issues |
| License: | GPL-3 |
| URL: | https://giscience-fsu.github.io/sperrorest, https://github.com/giscience-fsu/sperrorest |
| NeedsCompilation: | no |
| Citation: | sperrorest citation info |
| Materials: | README NEWS |
| In views: | Spatial |
| CRAN checks: | sperrorest results |
| Reference manual: | sperrorest.pdf |
| Vignettes: |
Custom Predict and Model Functions Spatial Modeling Using Statistical Learning Techniques |
| Package source: | sperrorest_3.0.1.tar.gz |
| Windows binaries: | r-devel: sperrorest_3.0.1.zip, r-release: sperrorest_3.0.1.zip, r-oldrel: sperrorest_3.0.1.zip |
| macOS binaries: | r-release: sperrorest_3.0.1.tgz, r-oldrel: sperrorest_3.0.1.tgz |
| Old sources: | sperrorest archive |
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