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CRAN: Package sperrorest

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:

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