Package: IceCast
Type: Package
Title: Apply Statistical Post-Processing to Improve Sea Ice Predictions
Version: 2.1.0
Author: Hannah M. Director, Adrian E. Raftery, and Cecilia M. Bitz
Maintainer: Hannah M. Director <direch@uw.edu>
Description: 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.) 
License: GPL (>= 2)
Depends: R (>= 2.10), rgeos, maptools, sp
Imports: ncdf4, MASS, raster, methods, utils, Rcpp (>= 0.12.17), coda
Suggests: geosphere, fields, knitr, rmarkdown, viridis
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
LinkingTo: Rcpp, RcppArmadillo
NeedsCompilation: yes
Packaged: 2019-06-24 01:26:50 UTC; hdirector
Repository: CRAN
Date/Publication: 2019-06-24 07:40:03 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:00:08 UTC; windows
Archs: i386, x64
