R: Bayesian Estimation

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 For more information check `check.model`.
`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 14.0.10 Index]