The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.

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 ORCID iD [aut, cre], Patrick Schratz ORCID iD [aut], Tobias Herrmann ORCID iD [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:

Reference manual: sperrorest.pdf
Vignettes: Custom Predict and Model Functions
Spatial Modeling Using Statistical Learning Techniques

Downloads:

Package source: sperrorest_3.0.5.tar.gz
Windows binaries: r-devel: sperrorest_3.0.5.zip, r-release: sperrorest_3.0.5.zip, r-oldrel: sperrorest_3.0.5.zip
macOS binaries: r-release (arm64): sperrorest_3.0.5.tgz, r-oldrel (arm64): sperrorest_3.0.5.tgz, r-release (x86_64): sperrorest_3.0.5.tgz, r-oldrel (x86_64): sperrorest_3.0.5.tgz
Old sources: sperrorest archive

Reverse dependencies:

Reverse suggests: mlr3spatiotempcv

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.
Health stats visible at Monitor.