DESCRIPTION

Type: Package
Package: sperrorest
Title: Perform Spatial Error Estimation and Variable Importance Assessment
Version: 3.0.5
Authors@R: 
    c(person(given = "Alexander",
             family = "Brenning",
             role = c("aut", "cre"),
             email = "alexander.brenning@uni-jena.de",
             comment = c(ORCID = "0000-0001-6640-679X")),
      person(given = "Patrick",
             family = "Schratz",
             role = "aut",
             email = "patrick.schratz@gmail.com",
             comment = c(ORCID = "0000-0003-0748-6624")),
      person(given = "Tobias",
             family = "Herrmann",
             role = "ctb",
             email = "herrmann.tobias89@gmail.com",
             comment = c(ORCID = "0000-0001-9768-0708")))
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
URL: https://giscience-fsu.github.io/sperrorest/,
    https://github.com/giscience-fsu/sperrorest
BugReports: https://github.com/giscience-fsu/sperrorest/issues
Depends:
    R (>= 2.10)
Imports:
    dplyr,
    future,
    future.apply,
    graphics,
    ROCR,
    stats,
    stringr
Suggests:
    knitr,
    MASS,
    nnet,
    parallel,
    ranger,
    rmarkdown,
    rpart,
    sp,
    testthat
VignetteBuilder: 
    knitr
ByteCompile: true
Encoding: UTF-8
LazyData: true
LazyLoad: yes
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.2.0