summary.tsroba: Summary of a nsroba object

In OBASpatial: Objective Bayesian Analysis for Spatial Regression Models

Summary of a nsroba object

Description

summary method for class "tsroba".

Usage

## S3 method for class 'tsroba'
summary(object, ...)

Arguments

object	object of the class "tsroba" (see tsroba function).
...	Additional arguments.

Value

mean.str	Estimates for the mean structure parameters \bold{beta}.
var.str	Estimates for the variance structure parameters σ^2, φ, ν.
betaF	Sample obtained for \bold{beta}.
sigmaF	Sample obtained for σ^2.
phiF	Sample obtained for φ.
nuF	Sample obtained for ν.

Author(s)

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

References

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

dnsrposoba,dtsrprioroba,dnsrprioroba,tsroba

Examples

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

xpred=model.matrix(calcont~altitude+area,data=dataca20[159:178,])
xobs=model.matrix(calcont~altitude+area,data=dataca20[1:158,])
coordspred=dataca20[159:178,1:2]

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

summary(res)

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