[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: | 2.1.5 |
| Depends: | R (≥ 2.10) |
| Imports: | pbapply, pbmcapply, magrittr, future.apply, future, doFuture, foreach, ROCR, parallel, graphics, stats, rpart, purrr, stringr, gdata, glue |
| Suggests: | ipred, nnet, RSAGA, knitr, testthat, pacman, rmarkdown |
| Published: | 2018-03-27 |
| Author: | Alexander Brenning [aut, cre],
Patrick Schratz [aut],
Tobias Herrmann [aut] |
| Maintainer: | Alexander Brenning <alexander.brenning at uni-jena.de> |
| BugReports: | https://github.com/pat-s/sperrorest/issues |
| License: | GPL-3 |
| 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 Parallel Modes of 'sperrorest' Spatial Modeling Using Statistical Learning Techniques |
| Package source: | sperrorest_2.1.5.tar.gz |
| Windows binaries: | r-devel: sperrorest_2.1.5.zip, r-release: sperrorest_2.1.5.zip, r-oldrel: sperrorest_2.1.5.zip |
| OS X binaries: | r-release: sperrorest_2.1.5.tgz, r-oldrel: sperrorest_2.1.5.tgz |
| Old sources: | sperrorest archive |
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