gev.init: Initilizes a state object for a Spatial GEV distribution
In spatial.gev.bma: Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA)
Description
Usage
Arguments
Value
Author(s)
Description
This utility function just initializes the state object
that is then passed around during the course of an MCMC for a
hierarchical spatial GEV distribution. It starts the object in a nice
spot and fills in the relevant items.
Usage
1
gev.init(Y.list, X.all, S, prior.user, full, fixed.xi)
Arguments
Y.list
The list of Y values
X.all
The matrix of covariates
S
The matrix of spatial locations
prior.user
The user-specified prior parameters, if there are any
full
A boolean indicating if BMA is to be performed
fixed.xi
An indication if the parameter xi is to be estimated (NULL)
or set to a given value.
Value
This returns a state object that is then used for the MCMC by the main
updating routines.
Author(s)
Alex Lenkoski <alex@nr.no>
spatial.gev.bma documentation built on May 1, 2019, 6:34 p.m.
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Description Usage Arguments Value Author(s)
Description
This utility function just initializes the state object that is then passed around during the course of an MCMC for a hierarchical spatial GEV distribution. It starts the object in a nice spot and fills in the relevant items.
Usage
1 | gev.init(Y.list, X.all, S, prior.user, full, fixed.xi)
|
Arguments
Y.list |
The list of Y values |
X.all |
The matrix of covariates |
S |
The matrix of spatial locations |
prior.user |
The user-specified prior parameters, if there are any |
full |
A boolean indicating if BMA is to be performed |
fixed.xi |
An indication if the parameter xi is to be estimated (NULL) or set to a given value. |
Value
This returns a state object that is then used for the MCMC by the main updating routines.
Author(s)
Alex Lenkoski <alex@nr.no>
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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