Description Usage Arguments Value Methods Note Note References See Also Examples
View source: R/Crossvalidation.R
The function estimates arbitrary parameters of a random field specification with various methods. Currently, the models to be fitted can be
Gaussian random fields
linear models
The fitting of max-stable random fields and others has not been implemented yet.
1 2 3 4 |
model,params |
\argModel |
x |
\argX |
y,z |
\argYz |
T |
\argT |
grid |
\argGrid |
data |
\argData |
lower |
\argLower |
upper |
\argUpper |
method |
Single method to be used for estimating, either
one of the |
users.guess |
\argUsersguess |
distances,dim |
\argDistances |
optim.control |
\argOptimcontrol |
transform |
\argTransform |
full |
logical.
If |
... |
\argDots |
An object of the class
"RFcrossvalidate"
which is
a list with the following components, cf. xvalid
in the
package geoR :
data |
the original data. |
predicted |
the values predicted by cross-validation. |
krige.var |
the cross-validation prediction variance. |
error |
the differences |
std.error |
the errors divided by the square root of the prediction variances. |
p |
In contrast to geoR the p-value is returned, i.e. the probability that a difference with absolute value larger than the absolute value of the actual difference is observed. A method for If |
prints the summary
gives a summary
An important option is cross_refit
that determines
whether the model is refitted for each location left out.
Default is FALSE
. See also RFoptions
.
This function does not depend on the value of
RFoptions
()$PracticalRange
.
The function RFcrossvalidate
always uses the standard specification
of the covariance model as given in RMmodel
.
Ribeiro, P.J., Jr. and Diggle, P.J (2014) R package geoR.
Burnham, K. P. and Anderson, D. R. (2002) Model selection and Multi-Model Inference: A Practical Information-Theoretic Approach. 2nd edition. New York: Springer.
RFratiotest
RFfit
RMmodel
,
RandomFields
,
weather
.
1 2 3 4 5 6 7 | RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
## RFoptions(seed=NA) to make them all random again
## currently disabled!
|
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