krineq {RGeoS}R Documentation

Conditional Expectation

Description

Conditional Expectation with inequalities

Usage

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)

Arguments

db

The db-class structure containing the data file

model

The model-class structure containing the Model information

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:

  • 0 : No order relationship

  • -1 : Descending order (Sample 'n' is larger than sample 'n+1')

  • +1 : Ascending order (Sample 'n' is smaller than sample 'n+1')

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.

Value

The data Db where the conditional expectation for each variable have been added.


[Package RGeoS version 9.1.1 Index]