IceCast: Apply Statistical Post-Processing to Improve Sea Ice Predictions

Tools for correcting biases and calibrating sea ice predictions obtained from dynamic ensemble models. Implements and extends Director et al. (2017) <doi:10.1175/JCLI-D-17-0185.1> This package depends on the 'ncdf4' and 'rgeos' R packages. These packages require installing externally from R Unidata's 'NetCDF' library and Geometry Engine - Open Source ('GEOS'). (See the 'rgeos' and 'ncdf4' packages for details.)

Version: 2.1.0
Depends: R (≥ 2.10), rgeos, maptools, sp
Imports: ncdf4, MASS, raster, methods, utils, Rcpp (≥ 0.12.17), coda
LinkingTo: Rcpp, RcppArmadillo
Suggests: geosphere, fields, knitr, rmarkdown, viridis
Published: 2019-06-24
Author: Hannah M. Director, Adrian E. Raftery, and Cecilia M. Bitz
Maintainer: Hannah M. Director <direch at uw.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials: README
CRAN checks: IceCast results

Downloads:

Reference manual: IceCast.pdf
Vignettes: Fitting and Generating Contour Forecasts
Mixture Contour Forecasting
"Contour-Shifting with the IceCast Package
Package source: IceCast_2.1.0.tar.gz
Windows binaries: r-devel: IceCast_2.1.0.zip, r-devel-gcc8: IceCast_2.1.0.zip, r-release: IceCast_2.1.0.zip, r-oldrel: IceCast_2.1.0.zip
OS X binaries: r-release: IceCast_2.1.0.tgz, r-oldrel: IceCast_2.1.0.tgz
Old sources: IceCast archive

Linking:

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