OBASpatial (version 1.9)

summary.tsroba: Summary of a nsroba object

Description

summary method for class "tsroba".

Usage

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

Value

mean.str

Estimates for the mean structure parameters \(\bold{beta}\).

var.str

Estimates for the variance structure parameters \(\sigma^2, \phi, \nu\).

betaF

Sample obtained for \(\bold{beta}\).

sigmaF

Sample obtained for \(\sigma^2\).

phiF

Sample obtained for \(\phi\).

nuF

Sample obtained for \(\nu\).

Arguments

object

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

...

Additional arguments.

Author

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

# \dontshow{

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

######covariance matern: kappa=0.3 prior:reference
rest=tsroba(calcont~altitude+area, kappa = 0.3, data=d1,
           ini.pars=c(10,3,10),iter=2,burn=0,thin=1)

summary(rest)

# }


# \donttest{

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)
# }