The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
| DOI: |
10.32614/CRAN.package.sperrorest |
| 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:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=sperrorest
to link to this page.
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.