Description Usage Arguments Details Value Author(s) Examples
Jacobian of mean values of statistics
1 2 3 |
models |
object of class |
points |
matrix or list of points to predict the sample means of statistics |
Xs |
matrix of sample points |
data |
data frame of sample means of statistics at sampled points |
krig.type |
name of kriging type, either " |
The function can be used to predict any values by kriging given a covariance model. In particular, we use it to predict
the sample mean of any statistic. Each covariance model is given as an element of the list 'models
' including its own trend
model and covariance function name. There are two types of kriging predictors available. First, the dual kriging predictor,
set by 'krig.type
'="dual
" or the one based on the calculation of prediction variances, if 'krig.type
' equals
"var
". Both result in exactly the same predicted values and only differ by whether or not kriging variances are calculated.
The measurements (data), e.g. sample means for each statistic, must be given as column vectors where each row corresponds to a
sample point in the data frame 'data
'.
The function 'jacobian
' computes the partial derivatives of sample means of the statistics
as columns and for each component of the parameter vector as rows by forward differences.
estim |
list of predicted values of sample means of statistics (including prediction
variances if ' |
jacobian |
list of Jacobians at predicted values of sample means of statistics |
M. Baaske
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.