xvalid_2D {RIntaros} | R Documentation |
2-D Cross-Validation
xvalid_2D(dbin, var, vario_lag = 0.5, vario_nlag = 20, moving = FALSE, nmaxi = 40, model = NA, struct = c(1, 12), dirvect = c(0, 45, 90, 135), radix = "Xvalid", draw.model = FALSE, verbose = FALSE, ...)
dbin |
The |
var |
Name of the Target variable |
vario_lag |
Lag of the experimental variogram calculated |
vario_nlag |
Number of variogram lags to be calculated |
moving |
When TRUE, a Moving Neighborhood is used. Otherwise the Neighborhood is Unique. |
nmaxi |
Maximum number of samples used per Neighborhood. This parameter is used only if the flag 'moving' is set to TRUE. |
model |
The |
struct |
Set of basic structures used for fitting the Model |
dirvect |
Set of directions where the (horizontal) experimental variograms must be calculated. If not defined, an omni-directional is calculated instead. |
radix |
Radix attached to the resulting variables |
draw.model |
When TRUE, the experimental variogram and the fitted model are represented graphically. |
verbose |
Verbose flag |
... |
Arguments passed to |
The db-class
which corresponds to the input Db, to which the
cross-validation results are added.