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https://github.com/santoroma/circspacetime

Spatial and Spatio-Temporal Bayesian Model for Circular Data
https://github.com/santoroma/circspacetime

bayesian-statistics circular-statistics projected-gaussian projected-normal r spatial-data-analysis spatio-temporal wrapped-gaussian wrapped-normal

Last synced: 10 months ago
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Spatial and Spatio-Temporal Bayesian Model for Circular Data

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# 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"

``` r
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.

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

## Using the package

```r
library(CircSpaceTime)
```

For further information on the package you can read the help or take a look at the [vignette](https://github.com/santoroma/CircSpaceTime/tree/master/inst/doc)

## 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](https://github.com/santoroma/CircSpaceTime/issues) 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