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sperrorest: Perform Spatial Error Estimation and Variable ImportanceAssessment

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 BrenningORCID iD [aut, cre], Patrick SchratzORCID iD [aut], Tobias HerrmannORCID 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.html ,sperrorest.pdf
Vignettes:Custom Predict and Model Functions (source,R code)
Spatial Modeling Using Statistical Learning Techniques (source,R code)

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 formhttps://CRAN.R-project.org/package=sperrorestto link to this page.


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