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) , Wang F. et al. (2014) and Mastrantonio G. et al. (2016) .


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0.9.0 by Mario Santoro, a year ago

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Authors: Giovanna Jona Lasinio [aut] , Gianluca Mastrantonio [aut] , Mario Santoro [aut, cre]

Documentation:   PDF Manual  

Task views: Missing Data

GPL-3 license

Imports Rcpp, circular, RInside, coda, ggplot2

Suggests foreach, iterators, parallel, doParallel, gridExtra

Linking to Rcpp, RcppArmadillo, RInside

See at CRAN