# Spatial and Spatio-Temporal Bayesian Model for Circular Data

## Documentation for package ‘CircSpaceTime’ version 0.9.0

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

CircSpaceTime-package | CircSpaceTime: implementation of Bayesian models, for spatial and spatio-temporal interpolation of circular data.
APEcirc | Average Prediction Error for circular Variables.
april | April waves.
CircSpaceTime | CircSpaceTime: implementation of Bayesian models, for spatial and spatio-temporal interpolation of circular data.
ConvCheck | Testing Convergence of mcmc using package coda
CRPScirc | The Continuous Ranked Probability Score for Circular Variables.
may | May waves.
ProjKrigSp | Kriging using projected normal model.
ProjKrigSpTi | #' Spatio temporal interpolation using projected spatial temporal normal model.
ProjSp | Samples from the Projected Normal spatial model
ProjSpTi | Samples from the posterior distribution of the Projected Normal spatial model
rose_diag | Rose diagram in ggplot2 inspired from rose.diag in package circular.
WrapKrigSp | Spatial interpolation using wrapped normal model.
WrapKrigSpTi | Prediction using wrapped normal spatio-temporal model.
WrapSp | Samples from the Wrapped Normal spatial model
WrapSpTi | Samples from the posterior distribution of the Wrapped Normal spatial temporal model