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.


Reference manual

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2.1.1 by Alexander Brenning, a month ago

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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