Package: sperrorest
Type: Package
Title: Perform Spatial Error Estimation and Variable Importance in
        Parallel
Version: 1.0.0
Date: 2017-03-08
Authors@R: c(
      person("Alexander", "Brenning", , "alexander.brenning@uni-jena.de",
        c("aut", "cre")),
      person("Patrick", "Schratz", , "patrick.schratz@uni-jena.de",
        "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
Imports: pbapply, foreach, doParallel, ROCR, parallel, graphics, stats,
        rpart
Description: Implements spatial error estimation and
    permutation-based variable importance measures for predictive models using
    spatial cross-validation and spatial block bootstrap.
License: GPL-3
LazyData: true
LazyLoad: yes
ByteCompile: true
Collate: 'sperrorest-package.R' 'resample.R' 'sperrorest.R'
        'sperrorest_misc.R' 'sperrorest_resampling.R'
        'sperrorest_error.R' 'sperrorest_data.R' 'parsperrorest.R'
RoxygenNote: 6.0.1
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2017-03-08 10:38:24 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: 2017-03-08 16:37:50
