CircSpaceTime: Spatial and Spatio-Temporal Bayesian Model for Circular Data

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
Author: Giovanna Jona Lasinio ORCID iD [aut], Gianluca Mastrantonio ORCID iD [aut], Mario Santoro ORCID iD [aut, cre]
Maintainer: Mario Santoro < at>
License: GPL-3
NeedsCompilation: yes
Materials: README
In views: MissingData
CRAN checks: CircSpaceTime results


Reference manual: CircSpaceTime.pdf
Package source: CircSpaceTime_0.9.0.tar.gz
Windows binaries: r-devel:, r-devel-UCRT:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): CircSpaceTime_0.9.0.tgz, r-release (x86_64): CircSpaceTime_0.9.0.tgz, r-oldrel: CircSpaceTime_0.9.0.tgz


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