kribayes {RGeostats}R Documentation

Bayesian Estimation

Description

Estimation with bayesian drift coefficients

Usage

kribayes(dbin, dbout, 
model = model.input(), neigh = neigh.input(), 
uc = c("1"), dmean = NULL, dcov = NULL, 
flag.est = TRUE, flag.std = TRUE, 
radix = "Kriging", modify.target = db.locmod())

Arguments

dbin

The db-class structure containing the data file

dbout

The db-class structure containing the target file

model

The model-class structure containing the Model information

neigh

The neigh-class structure containing the Neighborhood information

uc

The drift description. Use command uc.names for details.

dmean

The vector of priors on the mean of the Drift terms. By default, means are considered as zero.

dcov

Matrix of priors on the variance-covariance of the Drift terms. By default, this matrix is considered as the unity matrix.

flag.est

When TRUE, the estimations are required

flag.std

When TRUE, the standard deviation of estimations are required

radix

Radix of the name given to the variables storing the results in the target Db.

modify.target

Decides whether or not the newly created variables will have their locator defined or not. For more information, see db.locmod.

Value

The target Db where the following variables have been added:

* the estimation variable (if flag.est=TRUE)

* the standard deviation variable (if flag.std=TRUE)

These variables are multiplied for each one of the data variables.


[Package RGeostats version 11.1.1 Index]