model.auto {RGeoS} | R Documentation |
Automatic Model Fitting
model.auto(vario, struct = melem.name(c(1,4,5,2,3)), auth.aniso = TRUE, auth.rotation = TRUE, auth.locksame = FALSE, auth.lock2d = FALSE, flag.noreduce = FALSE, flag.norm.sill=FALSE,flag.goulard=TRUE, param = NA, lower = NA, upper = NA, draw = TRUE, wmode=2, maxiter = 1000, verbose=0, tolstop = 1.e-5, epsdelta = 1.e-5, tolsigma = 5, delta=1, ...)
vario |
The |
struct |
List of basic structures to be used |
auth.aniso |
When TRUE, the anisotropy will be checked |
auth.rotation |
When TRUE, the fit will look for rotation in anisotropy |
auth.locksame |
When TRUE and if an anisotropy is allowed (auth.aniso), all the basic structures should share the same rotation. |
auth.lock2d |
When TRUE, the anisotropy rotation will only consider a rotation around the Z-axis. The Dip and Plunge angles are kept equal to zero. |
flag.noreduce |
When TRUE, the useless basic structures must not be discarded. |
flag.norm.sill |
When TRUE, the automatic fit must fulfill the constraint that the sum of the sills must always be equal to 1 |
flag.goulard |
When TRUE, the sills are estimated using the Goulard algorithm's rather than Foxleg's one, at least if no constraint is applied on the sills. |
param |
List of initial values for the parameters to be fitted |
lower |
List of lower bounds for the parameters to be fitted |
upper |
List of upper bounds for the parameters to be fitted |
draw |
When TRUE, both the experimental variograms and the Model are represented graphically. Otherwise, no graphic is produced. |
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:
|
maxiter |
Maximum number of iterations |
verbose |
When TRUE, indications are given regarding the convergence of the algorithm used for automatic model fitting. |
tolstop |
Tolerance for the distance between the experiment and the model. |
epsdelta |
Tolerance for the direction increment used in the gradient search |
tolsigma |
Percentage of the variance below which a basic structure will be discarded |
delta |
Delta value |
... |
Arguments passed for the legend (see legend.line) |
The model-class
with fitted parameters