doit_update: Update a DoIt approximation
In sieste/doit: Bayesian Computation using Design of Experiments-Based Interpolation Technique
Description
Usage
Arguments
Value
Examples
Description
Update a 'doit' object by adding a new design point, but without changing
the kernel width.
Usage
1
doit_update(doit, design_new)
Arguments
doit
An object of class 'doit', see function 'doit_fit'.
design_new
The new design point.
Value
The updated 'doit' object.
Examples
1
2
3
4
5
6
design = data.frame(x=rnorm(10), y=rnorm(10))
design$f = with(design, exp(-0.5*(x+y)^2))
fit = doit_fit(design)
theta_new = doit_propose_new(fit)
theta_new$f = with(theta_new, exp(-0.5*(x+y)^2))
fit = doit_update(fit, theta_new)
sieste/doit documentation built on May 9, 2019, 4:10 p.m.
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Description Usage Arguments Value Examples
Description
Update a 'doit' object by adding a new design point, but without changing the kernel width.
Usage
1 | doit_update(doit, design_new)
|
Arguments
doit |
An object of class 'doit', see function 'doit_fit'. |
design_new |
The new design point. |
Value
The updated 'doit' object.
Examples
1 2 3 4 5 6 | design = data.frame(x=rnorm(10), y=rnorm(10))
design$f = with(design, exp(-0.5*(x+y)^2))
fit = doit_fit(design)
theta_new = doit_propose_new(fit)
theta_new$f = with(theta_new, exp(-0.5*(x+y)^2))
fit = doit_update(fit, theta_new)
|
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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