CircSpaceTime: CircSpaceTime: implementation of Bayesian models, for spatial...
In CircSpaceTime: Spatial and Spatio-Temporal Bayesian Model for Circular Data
Description
CircSpaceTime main functions
Description
The CircSpaceTime package provides two categories of important functions:
Sampling Functions and Posterior (Kriging) Estimation Functions.
CircSpaceTime main functions
WrapSp and ProjSp, for sampling
from a spatial Normal Wrapped and Projected, respectively.
WrapKrigSp and ProjKrigSp, for posterior
estimation on spatial Normal Wrapped and Projected, respectively.
WrapSpTi and ProjSpTi, for sampling
from a spatio-temporal Normal Wrapped and Projected, respectively.
WrapKrigSpTi and ProjKrigSpTi, for posterior
estimation on spatio-temporal Normal Wrapped and Projected, respectively.
CircSpaceTime documentation built on June 6, 2019, 5:06 p.m.
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Description CircSpaceTime main functions
Description
The CircSpaceTime package provides two categories of important functions: Sampling Functions and Posterior (Kriging) Estimation Functions.
CircSpaceTime main functions
WrapSp and ProjSp, for sampling
from a spatial Normal Wrapped and Projected, respectively.
WrapKrigSp and ProjKrigSp, for posterior
estimation on spatial Normal Wrapped and Projected, respectively.
WrapSpTi and ProjSpTi, for sampling
from a spatio-temporal Normal Wrapped and Projected, respectively.
WrapKrigSpTi and ProjKrigSpTi, for posterior
estimation on spatio-temporal Normal Wrapped and Projected, respectively.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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