spTDyn (version 2.0.3)

tp: Defining dynamic time-series coefficients in the formula

Description

This function is used to define dynamic time-series coefficients within the formula for the Gaussian process spatio-dynamic and spatio-temporal DLM.

Usage

tp(x)

Arguments

x

The variable/covariate for which time varying coefficient is defined.

See Also

GibbsDyn, sp

Examples

# \dontshow{
##
library(spTDyn)
# Read data 
data(NYdata); 
# Define the coordinates
coords<-as.matrix(unique(cbind(NYdata[,2:3])))
# MCMC via Gibbs using default choices
set.seed(11)
post.gp <- GibbsDyn(formula=o8hrmax ~cMAXTMP+WDSP+tp(RH),   
         nItr=100,nBurn=0, 
         data=NYdata, coords=coords, scale.transform="SQRT")
print(post.gp)
##
# }
# \donttest{
##

###########################
## Attach library spTimer
###########################

library(spTDyn)

###########################
## The GP models:
###########################

##
## Model fitting
##

# Read data 
data(NYdata); 

# Define the coordinates
coords<-as.matrix(unique(cbind(NYdata[,2:3])))

# MCMC via Gibbs using default choices
set.seed(11)
post.gp <- GibbsDyn(formula=o8hrmax ~cMAXTMP+WDSP+tp(RH),   
         data=NYdata, coords=coords, scale.transform="SQRT")
print(post.gp)

##
# }