nsrobapred: Prediction under Normal Objective Bayesian Analysis (OBA).

In OBASpatial: Objective Bayesian Analysis for Spatial Regression Models

Prediction under Normal Objective Bayesian Analysis (OBA).

Description

This function uses the sampling distribution of parameters obtained from the function tsroba to predict values at unknown locations.

Usage

nsrobapred1(xpred, coordspred, obj)

Arguments

xpred	Values of the X design matrix for prediction coordinates.
coordspred	Points coordinates to be predicted.
obj	object of the class "nsroba" (see nsroba function).

Details

This function predicts using the sampling distribution of parameters obtained from the function nsroba and the conditional normal distribution of the predicted values given the data.

Value

This function returns a vector with the predicted values at the specified locations.

Author(s)

Jose A. Ordonez, Marcos O. Prates, Larissa A. Matos, Victor H. Lachos.

References

Berger, J.O, De Oliveira, V. and Sanso, B. (2001). Objective Bayesian Analysis of Spatially Correlated Data. Journal of the American Statistical Association., 96, 1361 – 1374.

Diggle, P. and P. Ribeiro (2007).Model-Based Geostatistics. Springer Series in Statistics.

See Also

nsroba,tsrobapred

Examples

set.seed(25)
data(dataelev)
d1=dataelev[1:42,]

reselev=nsroba(elevation~1, kappa = 0.5, cov.model = "matern", data=d1,
ini.pars=c(10,3),intphi=c(0.8,10))

datapred1=dataelev[43:52,]
coordspred1=datapred1[,1:2]
nsrobapred1(obj=reselev,coordspred=coordspred1,xpred=rep(1,10))

OBASpatial documentation built on Sept. 11, 2022, 9:05 a.m.