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sperrorest: Perform Spatial Error Estimation and Variable Importance
Assessment
Implements spatial error estimation and
permutation-based variable importance measures for predictive models
using spatial cross-validation and spatial block bootstrap.
| Version: |
3.0.5 |
| Depends: |
R (≥ 2.10) |
| Imports: |
dplyr, future, future.apply, graphics, ROCR, stats, stringr |
| Suggests: |
knitr, MASS, nnet, parallel, ranger, rmarkdown, rpart, sp, testthat |
| Published: |
2022-10-16 |
| Author: |
Alexander Brenning
 [aut, cre],
Patrick Schratz
[aut],
Tobias Herrmann
[ctb] |
| 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 |
Documentation:
Downloads:
Reverse dependencies:
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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.
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