Spatial and Spatio-Temporal Bayesian Model for Circular Data

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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