Perform Spatial Error Estimation and Variable Importance in Parallel

Implements spatial error estimation and permutation-based variable importance measures for predictive models using spatial cross-validation and spatial block bootstrap.


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install.packages("sperrorest")

2.1.1 by Alexander Brenning, a month ago


Report a bug at https://github.com/pat-s/sperrorest/issues


Browse source code at https://github.com/cran/sperrorest


Authors: Alexander Brenning [aut, cre], Patrick Schratz [aut], Tobias Herrmann [aut]


Documentation:   PDF Manual  


Task views: Analysis of Spatial Data


GPL-3 license


Imports pbapply, pbmcapply, magrittr, future, doFuture, foreach, ROCR, parallel, graphics, stats, rpart, purrr, stringr, gdata

Suggests ipred, nnet, RSAGA, knitr, testthat, pacman, rmarkdown


See at CRAN