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Implementation of Bayesian models for spatial and spatio-temporal interpolation of circular data using Gaussian Wrapped and Gaussian Projected distributions. We developed the methods described in Jona Lasinio G. et al. (2012) <doi:10.1214/12-aoas576>, Wang F. et al. (2014) <doi:10.1080/01621459.2014.934454> and Mastrantonio G. et al. (2016) <doi:10.1007/s11749-015-0458-y>.
Version: | 0.9.0 |
Depends: | R (≥ 2.10) |
Imports: | Rcpp (≥ 0.12.14), circular, RInside, coda, ggplot2 |
LinkingTo: | Rcpp, RcppArmadillo, RInside |
Suggests: | foreach, iterators, parallel, doParallel, gridExtra |
Published: | 2019-06-06 |
DOI: | 10.32614/CRAN.package.CircSpaceTime |
Author: | Giovanna Jona Lasinio
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Maintainer: | Mario Santoro <santoro.ma at gmail.com> |
BugReports: | https://github.com/santoroma/CircSpaceTime |
License: | GPL-3 |
URL: | https://github.com/santoroma/CircSpaceTime |
NeedsCompilation: | yes |
Materials: | README |
In views: | Bayesian |
CRAN checks: | CircSpaceTime results |
Reference manual: | CircSpaceTime.pdf |
Package source: | CircSpaceTime_0.9.0.tar.gz |
Windows binaries: | r-devel: CircSpaceTime_0.9.0.zip, r-release: CircSpaceTime_0.9.0.zip, r-oldrel: CircSpaceTime_0.9.0.zip |
macOS binaries: | r-release (arm64): CircSpaceTime_0.9.0.tgz, r-oldrel (arm64): CircSpaceTime_0.9.0.tgz, r-release (x86_64): CircSpaceTime_0.9.0.tgz, r-oldrel (x86_64): CircSpaceTime_0.9.0.tgz |
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