spTimer (version 2.0-0)

spT.decay: Choice for sampling spatial decay parameter $\phi$.

Description

This function initialises the sampling method for the spatial decay parameter $\phi$.

Usage

spT.decay(distribution=Gamm(a=2,b=1), tuning=NULL, npoints=NULL, value=NULL)

Arguments

distribution

Prior distribution for $\phi$. Currently available methods are, Gamm(a,b) and Unif(low,up). One can also used "FIXED" value for $\phi$ parameter.

tuning

If the Gamma prior distribution is used then we need to define the tuning parameter for sampling $\phi$. The tuning is the standard deviation for the normal proposal distribution of the random-walk Metropolis algorithm used to sample $\phi$ o

npoints

If Unif distribution is used then need to define the number of segments for the range of limits by npoints. Default value is 5.

value

If distribution="FIXED" type is used then need to define the value for $\phi$. The default value is 3/dmax where dmax is the maximum distance between the fitting sites provided by coords.

See Also

spT.Gibbs.

Examples

## 

# input for random-walk Metropolis within Gibbs 
# sampling for phi parameter
spatial.decay<-spT.decay(distribution=Gamm(2,1), tuning=0.08)

# input for discrete sampling of phi parameter 
# with uniform prior distribution
spatial.decay<-spT.decay(distribution=Unif(0.01,0.02),npoints=5)

# input for spatial decay if FIXED is used
spatial.decay<-spT.decay(distribution="FIXED", value=0.01)

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