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.

To cite spatialRF in publications use:

Wright MN, Ziegler A (2017). “ranger: A Fast Implementation of Random Forests for High Dimensional Data in C++ and R.” Journal of Statistical Software, 77(1), 1–17. doi:10.18637/jss.v077.i01.

Benito BM (2021). spatialRF: Easy Spatial Regression with Random Forest. doi:10.5281/zenodo.4745208, R package version 1.1.3, https://blasbenito.github.io/spatialRF/.

Corresponding BibTeX entries:

  @Article{,
    title = {{ranger}: A Fast Implementation of Random Forests for High
      Dimensional Data in {C++} and {R}},
    author = {Marvin N. Wright and Andreas Ziegler},
    journal = {Journal of Statistical Software},
    year = {2017},
    volume = {77},
    number = {1},
    pages = {1--17},
    doi = {10.18637/jss.v077.i01},
  }
  @Manual{,
    title = {spatialRF: Easy Spatial Regression with Random Forest},
    author = {Blas M. Benito},
    doi = {10.5281/zenodo.4745208},
    url = {https://blasbenito.github.io/spatialRF/},
    year = {2021},
    note = {R package version 1.1.3},
  }

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.