The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

blockCV: Spatial and Environmental Blocking for K-Fold and LOO Cross-Validation

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 and point samples 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>.

Version: 3.1-5
Depends: R (≥ 3.5.0)
Imports: sf (≥ 1.0), Rcpp (≥ 1.0.2)
LinkingTo: Rcpp
Suggests: terra (≥ 1.6-41), ggplot2 (≥ 3.3.6), cowplot, automap (≥ 1.0-16), shiny (≥ 1.7), tmap (≥ 2.0), biomod2, gstat, methods, knitr, rmarkdown, testthat (≥ 3.0.0), covr
Published: 2024-11-01
DOI: 10.32614/CRAN.package.blockCV
Author: Roozbeh Valavi ORCID iD [aut, cre], Jane Elith [aut], José Lahoz-Monfort [aut], Ian Flint [aut], Gurutzeta Guillera-Arroita [aut]
Maintainer: Roozbeh Valavi <valavi.r at gmail.com>
BugReports: https://github.com/rvalavi/blockCV/issues
License: GPL (≥ 3)
URL: https://github.com/rvalavi/blockCV
NeedsCompilation: yes
Citation: blockCV citation info
CRAN checks: blockCV results

Documentation:

Reference manual: blockCV.pdf
Vignettes: 1. blockCV introduction: how to create block cross-validation folds (source, R code)
2. Block cross-validation for species distribution modelling (source, R code)

Downloads:

Package source: blockCV_3.1-5.tar.gz
Windows binaries: r-devel: blockCV_3.1-5.zip, r-release: blockCV_3.1-5.zip, r-oldrel: blockCV_3.1-5.zip
macOS binaries: r-release (arm64): blockCV_3.1-5.tgz, r-oldrel (arm64): blockCV_3.1-5.tgz, r-release (x86_64): blockCV_3.1-5.tgz, r-oldrel (x86_64): blockCV_3.1-5.tgz
Old sources: blockCV archive

Reverse dependencies:

Reverse imports: forestecology, intSDM, PointedSDMs
Reverse suggests: BiodiversityR, confcons, ENMeval, mlr3spatiotempcv, tidysdm

Linking:

Please use the canonical form https://CRAN.R-project.org/package=blockCV to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.