Package: HiClimR
Version: 1.2.0
Date: 2015-03-27
Title: Hierarchical Climate Regionalization
Author: Hamada S. Badr [aut, cre], Benjamin F. Zaitchik [aut], Amin K. Dezfuli [aut]
Maintainer: Hamada S. Badr <badr@jhu.edu>
URL: https://github.com/hsbadr/HiClimR
Depends: R (>= 2.10)
Enhances: stats
License: GPL (>= 2)
Description: A tool for Hierarchical Climate Regionalization applicable to any correlation-based clustering.
             It adds several features and a new clustering method (called, 'regional' linkage) to hierarchical 
             clustering in R ('hclust' function in 'stats' library): data regridding, coarsening spatial resolution,
             geographic masking (by continents, regions, or countries), data filtering by mean and/or variance 
             thresholds, data preprocessing (detrending, standardization, and PCA), faster correlation function
             with preliminary big data support, hybrid hierarchical clustering, multi-variate clustering (MVC), 
             cluster validation, and visualization of region maps.
Packaged: 2015-03-27 15:18:02 UTC; Hamada
LazyData: yes
LazyLoad: yes
ByteCompile: yes
NeedsCompilation: yes
Repository: CRAN
Date/Publication: 2015-03-27 21:05:56
Built: R 3.1.3; x86_64-apple-darwin10.8.0; 2015-03-28 06:49:57 UTC; unix
Archs: HiClimR.so.dSYM
