model.eval.nostat {RGeostats}  R Documentation 
Calculate the value of the nonstationary model for a set of distance increments
model.eval.nostat(model, h, iech1 = 1, iech2 = 1, db1 = NA, db2 = NA, ivar = 1, jvar = 1, dir = NA, nostat = NA, flag.norm = FALSE, as.cov = FALSE, nugget.opt = 0, nostd = 0, norder = 0, member = 0, basic.rank = 1)
model 
The 
h 
A set of distances for which the Basic Structure must be evaluated. 
iech1 
Rank of the first sample (of the first Db) where the parameters of the nonstationary model must be found. 
iech2 
Rank of the second sample (of the first Db) where the parameters of the nonstationary model must be found. 
db1 
The 
db2 
The 
ivar 
Index of the first field 
jvar 
Index of the second field 
dir 
Vector defining the direction coefficients. If defined, it must have the space dimension. The vector will be normalized internally. If not (properly) defined, it is defaulted to the unit vector in the first dimension of the space. 
nostat 
List of nonstationary parameters. For details see

flag.norm 
If TRUE, the variogram is normalized by the variable variance before it is represented 
as.cov 
If TRUE, the structure is represented as a covariance; otherwise it is represented as a variogram. 
nugget.opt 
Option for the nugget effect: 0 no action; 1 discard the nuegget effect; 1 only consider the nugget effet 
nostd 
Option for representing the (cross)variogram between two different variables. This may be 0 for the standard crossvariogram, 1 for the lower and +1 for the upper part of the maximum correlation envelop. 
norder 
When equal to 0, this corresponds to the standard variogram. When strictly positive, it corresponds to the order of the Generalized Variogram. 
member 
Type of model usage. In some cases, the expression of the model can be different when used in the Lefthand side (0) or the Righthand side (1) of the Kriging system, or for the constant term of the Variance calculation (2). This can be chosen here 
basic.rank 
If positive, rank of the only basic structure to be evaluated. Otherwise, all the basic structures of the model are evaluated. 
Value(s) of the modelclass
calculated for a set of distances.