Package: sperrorest
Type: Package
Title: Perform Spatial Error Estimation and Variable Importance in
        Parallel
Description: Implements spatial error estimation and 
   permutation-based variable importance measures for predictive models using 
   spatial cross-validation and spatial block bootstrap.
Version: 2.1.1
Date: 2017-10-16
Authors@R: c(
      person("Alexander", "Brenning", , "alexander.brenning@uni-jena.de",
        c("aut", "cre")),
      person("Patrick", "Schratz", , "patrick.schratz@uni-jena.de",
        c("aut")),
      person("Tobias", "Herrmann", , "herrmann.tobias89@gmail.com",
        "aut")  
      )
BugReports: https://github.com/pat-s/sperrorest/issues
Depends: R (>= 2.10)
Suggests: ipred, nnet, RSAGA, knitr, testthat, pacman, rmarkdown
Imports: pbapply, pbmcapply, magrittr, future, doFuture, foreach, ROCR,
        parallel, graphics, stats, rpart, purrr, stringr, gdata,
License: GPL-3
LazyData: true
LazyLoad: yes
ByteCompile: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-10-16 18:45:12 UTC; pjs
Author: Alexander Brenning [aut, cre],
  Patrick Schratz [aut],
  Tobias Herrmann [aut]
Maintainer: Alexander Brenning <alexander.brenning@uni-jena.de>
Repository: CRAN
Date/Publication: 2017-10-16 20:25:15 UTC
Built: R 3.2.5; ; 2017-10-17 13:04:36 UTC; unix
