linApproxDens: Test the C++ object class LinApproxDens
In hypergsplines: Bayesian model selection with penalised splines and hyper-g prior
Description
Usage
Arguments
Value
Author(s)
Description
Test the C++ object class LinApproxDens
Usage
1
linApproxDens(args, logDens, grid, nSamples)
Arguments
args
the x values
logDens
the unnormalised log density values
grid
the grid on which to evaluate the linear
spline approximation
nSamples
number of samples to produce
Value
list with approximate density values and samples
Author(s)
Daniel Sabanes Bove
daniel.sabanesbove@ifspm.uzh.ch
hypergsplines documentation built on May 2, 2019, 6:14 p.m.
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Description Usage Arguments Value Author(s)
Description
Test the C++ object class LinApproxDens
Usage
1 | linApproxDens(args, logDens, grid, nSamples)
|
Arguments
args |
the x values |
logDens |
the unnormalised log density values |
grid |
the grid on which to evaluate the linear spline approximation |
nSamples |
number of samples to produce |
Value
list with approximate density values and samples
Author(s)
Daniel Sabanes Bove daniel.sabanesbove@ifspm.uzh.ch
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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