CGGPplotsamplesneglogpost: Plot negative log posterior likelihood of samples
In CGGP: Composite Grid Gaussian Processes
Description
Usage
Arguments
Value
See Also
Examples
Description
Plot negative log posterior likelihood of samples
Usage
1
Arguments
CGGP
CGGP object
Value
ggplot2 object
See Also
Other CGGP plot functions:
CGGPplotblocks(),
CGGPplotcorr(),
CGGPplotheat(),
CGGPplothist(),
CGGPplotslice(),
CGGPplottheta(),
CGGPplotvariogram(),
CGGPvalplot()
Examples
1
2
3
4
5
gs <- CGGPcreate(d=3, batchsize=100)
f <- function(x){x[1]^1.2+x[3]^.4*sin(2*pi*x[2]^2*3) + .1*exp(3*x[3])}
y <- apply(gs$design, 1, f)
gs <- CGGPfit(gs, Y=y)
CGGPplotsamplesneglogpost(gs)
CGGP documentation built on May 8, 2021, 5:06 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value See Also Examples
Description
Plot negative log posterior likelihood of samples
Usage
1 |
Arguments
CGGP |
CGGP object |
Value
ggplot2 object
See Also
Other CGGP plot functions:
CGGPplotblocks(),
CGGPplotcorr(),
CGGPplotheat(),
CGGPplothist(),
CGGPplotslice(),
CGGPplottheta(),
CGGPplotvariogram(),
CGGPvalplot()
Examples
1 2 3 4 5 | gs <- CGGPcreate(d=3, batchsize=100)
f <- function(x){x[1]^1.2+x[3]^.4*sin(2*pi*x[2]^2*3) + .1*exp(3*x[3])}
y <- apply(gs$design, 1, f)
gs <- CGGPfit(gs, Y=y)
CGGPplotsamplesneglogpost(gs)
|
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.