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

Tools for modeling and correcting biases in sea ice predictions obtained from dynamical models. This package depends on the 'ncdf4' and 'rgeos' R packages. These packages respectively require installing externally from R Unidata's 'NetCDF' library and Geometry Engine - Open Source ('GEOS'). (See the 'rgeos' and 'ncdf4' packages for details.) References, Bivand and Rundel (2017) <https://CRAN.R-project.org/package=rgeos>, Open Source Geospatial Foundation (2017) <https://trac.osgeo.org/geos>, Pierce (2017) <https://CRAN.R-project.org/package=ncdf4>, Unidata (2017) <https://www.unidata.ucar.edu/software/netcdf/>.

Getting started

Package details

AuthorHannah M. Director, Adrian E. Raftery, and Cecilia M. Bitz
MaintainerHannah M. Director <[email protected]>
LicenseGPL (>= 2)
Version1.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("NicWayand/IceCast")
NicWayand/IceCast documentation built on June 22, 2018, 12:10 a.m.