Package: CircSpaceTime 0.9.0
Mario Santoro
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>.
Authors:
CircSpaceTime_0.9.0.tar.gz
CircSpaceTime_0.9.0.tar.gz(r-4.5-noble)CircSpaceTime_0.9.0.tar.gz(r-4.4-noble)
CircSpaceTime_0.9.0.tgz(r-4.4-emscripten)CircSpaceTime_0.9.0.tgz(r-4.3-emscripten)
CircSpaceTime.pdf |CircSpaceTime.html✨
CircSpaceTime/json (API)
| # Install 'CircSpaceTime' in R: |
| install.packages('CircSpaceTime', repos = 'https://cloud.r-project.org') |
Bug tracker:https://github.com/santoroma/circspacetime/issues0 issues
Last updated 6 years agofrom:a59eecad65. Checks:1 OK, 2 NOTE. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-linux-x86_64 | NOTE | Mar 25 2025 |
| R-4.4-linux-x86_64 | NOTE | Mar 25 2025 |
Exports:APEcircConvCheckCRPScircProjKrigSpProjKrigSpTiProjSpProjSpTirose_diagWrapKrigSpWrapKrigSpTiWrapSpWrapSpTi
Dependencies:bootcircularclicodacolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRInsiderlangscalestibbleutf8vctrsviridisLitewithr
Citation
To cite package ‘CircSpaceTime’ in publications use:
Jona Lasinio G, Mastrantonio G, Santoro M (2019). CircSpaceTime: Spatial and Spatio-Temporal Bayesian Model for Circular Data. R package version 0.9.0, https://CRAN.R-project.org/package=CircSpaceTime.
Corresponding BibTeX entry:
@Manual{,
title = {CircSpaceTime: Spatial and Spatio-Temporal Bayesian Model
for Circular Data},
author = {Giovanna {Jona Lasinio} and Gianluca Mastrantonio and
Mario Santoro},
year = {2019},
note = {R package version 0.9.0},
url = {https://CRAN.R-project.org/package=CircSpaceTime},
}
Readme and manuals
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:
- Find if already exist a similar issue, read it and if the case write a precise comment with reproducible example.
- If not, open a new one writing a precise comment with reproducible example.
Thanks
Mario, Gianluca and Giovanna
