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 dbclass
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