Package: CircSpaceTime 0.9.0

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:Giovanna Jona Lasinio [aut], Gianluca Mastrantonio [aut], Mario Santoro [aut, cre]

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CircSpaceTime.pdf |CircSpaceTime.html
CircSpaceTime/json (API)

# Install 'CircSpaceTime' in R:
install.packages('CircSpaceTime', repos = c('https://santoroma.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/santoroma/circspacetime/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:

On CRAN:

bayesian-statisticscircular-statisticsprojected-gaussianprojected-normalspatial-data-analysisspatio-temporalwrapped-gaussianwrapped-normal

3.98 score 7 stars 27 scripts 204 downloads 12 exports 35 dependencies

Last updated 5 years agofrom:081facaeff. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-win-x86_64NOTENov 17 2024
R-4.5-linux-x86_64NOTENov 17 2024
R-4.4-win-x86_64NOTENov 17 2024
R-4.4-mac-x86_64NOTENov 17 2024
R-4.4-mac-aarch64NOTENov 17 2024
R-4.3-win-x86_64NOTENov 17 2024
R-4.3-mac-x86_64NOTENov 17 2024
R-4.3-mac-aarch64NOTENov 17 2024

Exports:APEcircConvCheckCRPScircProjKrigSpProjKrigSpTiProjSpProjSpTirose_diagWrapKrigSpWrapKrigSpTiWrapSpWrapSpTi

Dependencies:bootcircularclicodacolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppArmadilloRInsiderlangscalestibbleutf8vctrsviridisLitewithr