ce {RGeostats} | R Documentation |
Conditional Expectation under Gaussian Model
ce(db, name.est = db.getname(db, "z", 1), name.std = db.getname(db,"z", 2), anam, cutmine = NA, recovery = c("Z"), verbose = FALSE, flag.est = TRUE, flag.std = TRUE, flag.simu=FALSE, nbsimu=100, radix = "ce", modify.target = db.locmod())
db |
The |
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 |
cutmine |
The array containing the cutoffs for which the selectivity curves must be computed. |
recovery |
Names of the recovery functions to be calculated. This list should contain one or several among the following list of keywords:
|
verbose |
Verbose flag |
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. |
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 |
The db-class
contains the recovery functions. The number
of recovery functions depends upon the code:
Z: One variable for Estimation (if flag.sel) and one for Standard Seviation (if flag.std).
T,Q: One variable per cutoff for Estimation (if flag.est) and one for Standard Deviation (if flag.std)
B,M: One variable per cutoff