IMSPE: Integrated Mean Square Prediction Error
In hetGP: Heteroskedastic Gaussian Process Modeling and Design under Replication
IMSPE R Documentation
Integrated Mean Square Prediction Error
Description
IMSPE of a given design
Usage
IMSPE(
X,
theta = NULL,
Lambda = NULL,
mult = NULL,
covtype = NULL,
nu = NULL,
eps = sqrt(.Machine$double.eps)
)
Arguments
X
hetGP or homGP model. Alternatively, one can provide a matrix of unique designs considered
theta
lengthscales
Lambda
diagonal matrix for the noise
mult
number of replicates at each design
covtype
either "Gaussian", "Matern3_2" or "Matern5_2"
nu
variance parameter
eps
numerical nugget
Details
One can provide directly a model of class hetGP or homGP, or provide X and all other arguments
hetGP documentation built on Oct. 3, 2023, 1:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| IMSPE | R Documentation |
Integrated Mean Square Prediction Error
Description
IMSPE of a given design
Usage
IMSPE(
X,
theta = NULL,
Lambda = NULL,
mult = NULL,
covtype = NULL,
nu = NULL,
eps = sqrt(.Machine$double.eps)
)
Arguments
X |
|
theta |
lengthscales |
Lambda |
diagonal matrix for the noise |
mult |
number of replicates at each design |
covtype |
either "Gaussian", "Matern3_2" or "Matern5_2" |
nu |
variance parameter |
eps |
numerical nugget |
Details
One can provide directly a model of class hetGP or homGP, or provide X and all other arguments
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.