DESCRIPTION

Package: blockCV
Type: Package
Title: Spatial and Environmental Blocking for K-Fold Cross-Validation
Version: 2.1.2
Date: 2020-02-16
Authors@R: c(person("Roozbeh", "Valavi", role = c("aut", "cre"),
                    email = "valavi.r@gmail.com"),
             person("Jane", "Elith", role = "aut",
                    email = "j.elith@unimelb.edu.au"),
             person("José", "Lahoz-Monfort", role = "aut",
                    email = "jose.lahoz@unimelb.edu.au"),
             person("Gurutzeta", "Guillera-Arroita", role = "aut",
                    email = "gurutzeta.guillera@unimelb.edu.au"))
URL: https://github.com/rvalavi/blockCV
Maintainer: Roozbeh Valavi <valavi.r@gmail.com>
Description: Creating spatially or environmentally separated folds for cross-validation to provide a robust error estimation in spatially structured environments; Investigating and visualising the effective range of spatial autocorrelation in continuous raster covariates to find an initial realistic distance band to separate training and testing datasets spatially described in Valavi, R. et al. (2019) <doi:10.1111/2041-210X.13107>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends:
  R (>= 3.5.0)
Imports:
  raster (>= 2.5-8),
  sf (>= 0.8-0),
  progress
RoxygenNote: 7.0.2
Suggests: 
  knitr,
  ggplot2 (>= 3.2.1),
  cowplot,
  automap (>= 1.0-14),
  rgeos,
  future,
  future.apply,
  shiny (>= 1.0.3),
  shinydashboard,
  geosphere,
  methods,
  rmarkdown,
  testthat,
  covr
VignetteBuilder: knitr