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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
If you are linux/linux-like users or simply you want to compile from source the best way is to use “devtools”
<- require(devtools)
devtools_installed 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
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
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.