model.pgs.fit {RGeoS} | R Documentation |
Fit the Sills of the Underlying GRF Models in the PluriGaussian scope
model.pgs.fit(vario, rule = rule.input(), model1 = NA, model2 = NA, dbin = NA, dbout = NA, props = NA, flag.stat = TRUE, niter = 100, wmode = 2, draw = TRUE, flag.ask = TRUE, ...)
vario |
The |
rule |
The |
model1 |
The |
model2 |
The |
dbin |
The |
dbout |
The |
props |
Vector giving the constant facies proportions in the stationary case. |
flag.stat |
When TRUE, the proportions are stationary and read from the array props. Otherwise, the proportions are read from the proportion variables of the output |
niter |
Maximum number of iterations in the fitting procedure. |
wmode |
Type of the weighting function used in the fitting procedure. This function is defined in the case of several directional experimental variograms, calculated in a multivariate case:
|
draw |
When TRUE, both the experimental variograms and the Model (interpreted through the variogram of indicators) are represented graphically. Otherwise, no graphic is produced. |
flag.ask |
When TRUE, the parameters of the model are entered interactively. When FALSE and if a model is provided as an argument, the automatic sill takes place and no question is asked. |
... |
Arguments passed for the legend (see legend.line) |