tsrobapred: Prediction under Student-t Objective Bayesian Analysis (OBA).

In OBASpatial: Objective Bayesian Analysis for Spatial Regression Models

Prediction under Student-t 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

tsrobapred(obj,xpred,coordspred)

Arguments

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

Details

This function predicts using the sampling distribution of parameters obtained from the function tsroba and the conditional Student-t 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

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

Ordonez, J.A, M.O. Prattes, L.A. Matos, and V.H. Lachos (2020+). Objective Bayesian analysis for spatial Student-t regression models. (Submitted)

See Also

tsroba,nsrobapred1

Examples

set.seed(25)
data(dataca20)
d1=dataca20[1:158,]

######covariance matern: kappa=0.3 prior:reference
res=tsroba(calcont~altitude+area, kappa = 0.3, data=d1,
ini.pars=c(10,3,10),iter=50,thin=1,burn=5)

datapred=dataca20[159:178,]
formula=calcont~altitude+area
xpred=model.matrix(formula,data=datapred)

tsrobapred(res,xpred=xpred,coordspred=dataca20[159:178,1:2])

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