dvol.mse.est {pgs} | R Documentation |
MSE estimation for volume predictors
Description
Compute a MSE estimate for volume predictors in a space
with arbitrary dimension. The structure of interest is an
random compact set. The sampling device is a uniform random lattice of
figures.
Usage
dvol.mse.est(fldata,mse.only=TRUE,iso=FALSE,diff2use)
Arguments
fldata |
data collected for volume prediction, object of class FigLatData-class . |
mse.only |
TRUE (default) if only the MSE estimate must be returned. |
iso |
FALSE (default) if the boundary is not assumed to be isotropic. |
diff2use |
a family of lattice vectors defining the data covariations to be used for the MSE estimation. A matrix with as many columns as lattice vectors. Each column contains the vector coordinates in the basis defined by the lattice generating matrix. |
Value
If mse.only is TRUE, the MSE estimate as a scalar. Otherwise a list with components:
S.est |
estimate of the boundary surface area. |
deformation |
used when the boundary is not assumed to be isotropic. It is assumed that there exists a volume preserving linear transformation which makes the boundary isotropic. This list component contains the estimated transformation matrix. |
mse.est |
MSE estimate. |
See Also
vol.mse.est
, area.mse.est
.
[Package
pgs version 0.2-0
Index]