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 [aut], Gianluca Mastrantonio [aut], Mario Santoro [aut, cre]
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:	MissingData
CRAN checks:	CircSpaceTime results

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