CGGP_internal_calcpwanddpw: Calculate derivative of pw
In CGGP: Composite Grid Gaussian Processes
Description
Usage
Arguments
Value
Examples
View source: R/CGGP_fastcalcassist_fs.R
Description
Calculate derivative of pw
Usage
1
CGGP_internal_calcpwanddpw(CGGP, y, theta, return_lS = FALSE)
Arguments
CGGP
CGGP object
y
Measured values for CGGP$design
theta
Correlation parameters
return_lS
Should lS and dlS be returned?
Value
derivative matrix of pw with respect to logtheta
Examples
1
2
3
cggp <- CGGPcreate(d=3, batchsize=100)
y <- apply(cggp$design, 1, function(x){x[1]+x[2]^2+rnorm(1,0,.01)})
CGGP_internal_calcpwanddpw(CGGP=cggp, y=y, theta=cggp$thetaMAP)
CGGP documentation built on May 8, 2021, 5:06 p.m.
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Description Usage Arguments Value Examples
View source: R/CGGP_fastcalcassist_fs.R
Description
Calculate derivative of pw
Usage
1 | CGGP_internal_calcpwanddpw(CGGP, y, theta, return_lS = FALSE)
|
Arguments
CGGP |
CGGP object |
y |
Measured values for CGGP$design |
theta |
Correlation parameters |
return_lS |
Should lS and dlS be returned? |
Value
derivative matrix of pw with respect to logtheta
Examples
1 2 3 | cggp <- CGGPcreate(d=3, batchsize=100)
y <- apply(cggp$design, 1, function(x){x[1]+x[2]^2+rnorm(1,0,.01)})
CGGP_internal_calcpwanddpw(CGGP=cggp, y=y, theta=cggp$thetaMAP)
|
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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