R: Conditional Expectation under Gaussian Model

ce {RGeostats}

R Documentation

Conditional Expectation under Gaussian Model

Description

Conditional Expectation under Gaussian Model

Usage

     ce(db,
        name.est = db.getname(db, "z", 1), name.std = db.getname(db,"z", 2),
        anam, zcuts = NA, proba=NA, output = c("Z"), 
        flag.est=TRUE, flag.std=TRUE, flag.simu=FALSE, flag.OK=FALSE,
		nbsimu=100, radix = "ce", modify.target = db.locmod())

Arguments

`db`	The `db-class` which contains the results of the Kriging phase needed for computing the Conditional Expectation calculations.
`name.est`	Name of the attribute containing the kriging estimate.
`name.std`	Name of the attribute containing the variance of kriging estimate error;
`anam`	A `anam-class` structure which contains the definition of the Punctual Gaussian Anamorphosis.
`zcuts`	The array containing the cutoffs for which the selectivity curves must be computed.
`proba`	Value of the probability for which the quantile must be calculated
`output`	Names of the functions to be calculated. This list should contain one or several among the following list of keywords: Z: The estimate T: The tonnage (per cutoff) Q: The Metal quantity (per cutoff) M: The average grade above cutoff (per cutoff) B: The conventional benefit (per cutoff) Prop: The probability below cutoff Quant: The quantile at cutoff
`flag.est`	TRUE if the estimation is requested
`flag.std`	TRUE if the standard deviation of estimation error is requested
`flag.simu`	When TRUE, calculations are performed using a Montecarlo approach. Otherwise numerical integration is performed using Hermite polynomials.
`flag.OK`	When the Kriging results are provided through Ordinary Kriging, some corrections must be provided.
`nbsimu`	When flag.simu is set to TRUE, this argument designates the number of Montecarlo simulations that are drawn to calculate the quantities.
`radix`	Radix used for naming the output variables.
`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 db-class contains the functions. The number of functions depends upon the code:

Z: One variable for Estimation (if flag.sel) and one for Standard Seviation (if flag.std).
T,Q, B, M, Proba, Quant: One variable per cutoff

[Package RGeostats version 14.0.10 Index]