Spatial and Spatio-Temporal Bayesian Model for Circular Data.

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.

Currently the following models are implemented:
Spatial Wrapped Normal
Spatial Projected Normal
Spatio-Temporal Wrapped Normal
Spatio-Temporal Projected Normal

Installation

From source

If you are linux/linux-like users or simply you want to compile from source the best way is to use "devtools"

devtools_installed <- require(devtools)
 if (!devtools_installed){
   install.packages("devtools", dep = TRUE)
    library(devtools)
    }
  install_github("santoroma/CircSpaceTime")  

Dependencies: Rcpp, RcppArmadillo, circular, ggplot2, coda
Suggested: foreach, parallel, iterators, doParallel, knitr, rmarkdown, gridExtra

From CRAN

The package is in submission on CRAN.

  install.packages("CircSpaceTime", dep = TRUE)

Using the package

library(CircSpaceTime)

For further information on the package you can read the help or take a look at the vignette

Issues

Please help us to improve the package!
For any issue/error/"what is this?" report the best way is to visit the issues page and:

1. Find if already exist a similar issue, read it and if the case write a precise comment with reproducible example.
2. If not, open a new one writing a precise comment with reproducible example.

Thanks

Mario, Gianluca and Giovanna.