spT.decay: Choice for sampling spatial decay parameter phi.
In spTimer: Spatio-Temporal Bayesian Modelling

spT.decay

R Documentation

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` on the log-scale.
`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`.

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)

##

spTimer documentation built on Sept. 11, 2024, 6:25 p.m.