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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.
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>.
| Version: |
0.9.0 |
| Depends: |
R (≥ 2.10) |
| Imports: |
Rcpp (≥ 0.12.14), circular, RInside, coda, ggplot2 |
| LinkingTo: |
Rcpp, RcppArmadillo, RInside |
| Suggests: |
foreach, iterators, parallel, doParallel, gridExtra |
| Published: |
2019-06-06 |
| DOI: |
10.32614/CRAN.package.CircSpaceTime |
| Author: |
Giovanna Jona Lasinio
 [aut],
Gianluca Mastrantonio
[aut],
Mario Santoro
[aut, cre] |
| Maintainer: |
Mario Santoro <santoro.ma at gmail.com> |
| BugReports: |
https://github.com/santoroma/CircSpaceTime |
| License: |
GPL-3 |
| URL: |
https://github.com/santoroma/CircSpaceTime |
| NeedsCompilation: |
yes |
| Materials: |
README |
| In views: |
Bayesian |
| CRAN checks: |
CircSpaceTime results |
Documentation:
Downloads:
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https://CRAN.R-project.org/package=CircSpaceTime
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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.