doit_integral: DoIt approximation of the normalisation constant
In sieste/doit: Bayesian Computation using Design of Experiments-Based Interpolation Technique
Description
Usage
Arguments
Value
Examples
Description
Calculate the integral of the approximated function.
Usage
1
Arguments
doit
An object of class 'doit', see function 'doit_fit'.
Value
The integral of the approximated function over all 'theta'.
Examples
1
2
3
4
design = data.frame(x=rnorm(10), y=rnorm(10))
design$f = with(design, exp(-0.5*(x+y)^2))
fit = doit_fit(design)
Z = doit_integral(fit)
sieste/doit documentation built on May 9, 2019, 4:10 p.m.
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Description Usage Arguments Value Examples
Description
Calculate the integral of the approximated function.
Usage
1 |
Arguments
doit |
An object of class 'doit', see function 'doit_fit'. |
Value
The integral of the approximated function over all 'theta'.
Examples
1 2 3 4 | design = data.frame(x=rnorm(10), y=rnorm(10))
design$f = with(design, exp(-0.5*(x+y)^2))
fit = doit_fit(design)
Z = doit_integral(fit)
|
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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