krineq {RGeoS} | R Documentation |
Conditional Expectation with inequalities
krineq(db, model = model.input(), uc = c("1"), mean = NA, flag.order=0, seed = 232431, nboot = 10, niter = 100, toleps=1, radix = NA, modify.target = TRUE)
db |
The |
model |
The |
uc |
The vector of strings describing the drift conditions |
mean |
Array containing the mean of each variable, used in the case of Simple (Co-)Kriging |
flag.order |
Specifies if the simulated values must follow an oreder relationship:
|
seed |
Seed used for the random number generator |
nboot |
Number of iterations performed for bootstrap |
niter |
Maximum number of iterations for calculating the conditional expectation |
toleps |
Relative difference between the previous and the new value at a sample location below which the sample is considered as immobile |
radix |
Radix of the name given to the variables storing the results in the target Db. |
modify.target |
When TRUE, the kriging results (estimation or standard deviation) are set as new target variables in the output DB. |
The data Db where the conditional expectation for each variable have been added.