mvcokm.predict: Prediction at new inputs in autoregressive cokriging models...
In pulongma/ARCokrig: Autoregressive Cokriging Models for Multifidelity Codes
Description
Usage
Arguments
Author(s)
See Also
View source: R/mvcokm.predict.R
Description
This function makes prediction in
the parallel partial cokriging model. If a nested design is used, the predictive mean and predictive variance are
computed exactly; otherwise, Monte Carlo simulation from the predictive distribution is used to approximate
the predictive mean and predictive variance.
Usage
1
mvcokm.predict(obj, input.new)
Arguments
obj
a mvcokm object construted via the function mvcokm in
this package
input.new
a matrix including new inputs for making prediction
Author(s)
Pulong Ma <mpulong@gmail.com>
See Also
mvcokm, mvcokm.fit, mvcokm.condsim, ARCokrig
pulongma/ARCokrig documentation built on Sept. 24, 2021, 11:24 p.m.
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Description Usage Arguments Author(s) See Also
View source: R/mvcokm.predict.R
Description
This function makes prediction in the parallel partial cokriging model. If a nested design is used, the predictive mean and predictive variance are computed exactly; otherwise, Monte Carlo simulation from the predictive distribution is used to approximate the predictive mean and predictive variance.
Usage
1 | mvcokm.predict(obj, input.new)
|
Arguments
obj |
a |
input.new |
a matrix including new inputs for making prediction |
Author(s)
Pulong Ma <mpulong@gmail.com>
See Also
mvcokm, mvcokm.fit, mvcokm.condsim, ARCokrig
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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