simcond {RGeostats}R Documentation

Conditional Expectation with Inequalities

Description

Conditional Expectation with Inequalities

Usage

simcond(dbin, dbout, model = model.input(), seed = 232431, nbsimu = 1, nbtuba = 100, nboot = 10, niter = 100, flag.check = FALSE, flag.ce = FALSE, flag.cstd = FALSE, verbose = FALSE, radix = "SimCond", modify.target = db.locmod())

Arguments

dbin

The db-class structure containing the information. This information must be constituted by inquality constraints and/or hard data. See Details

dbout

The db-class strcture where the calculations must be performed.

model

The model-class containing the Model information. For more information check check.model.

seed

Seed used for the random number generator. When 0, the seed is not initialized.

nbsimu

Number of simulations

nbtuba

Number of bands used for the internal Turning Bands simulation algorithm

nboot

Number of iterations performed for bootstrap

niter

Maximum number of iterations for calculating the conditional expectation

flag.check

When TRUE, the Gaussian value of the conditional simulation is compared to the value of the closest data.

flag.ce

When TRUE, the Conditional Expectation is derived from the simulations

flag.cstd

When TRUE, the Conditional Standard Deviation is derived from the simulations

verbose

Verbose flag

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. In the case of 'flag.ce' and / or 'flag.cstd', locators are defined only for the output fields containing Conditional Expectation.

Details

At a constrining sample:

When no bound is provided, a message is provided to encourage using simtub() instead of simcond().

Value

The target Db to which several variables have been added:


[Package RGeostats version 14.0.10 Index]