coxprocess_logprior_conditional: Evaluate conditional density of multivariate Gaussian prior
In jeremyhengjm/GibbsFlow: Gibbs Flow for Approximate Transport
Description
Usage
Arguments
Value
Description
Evaluate conditional density of multivariate Gaussian prior
Usage
1
coxprocess_logprior_conditional(dim, x, other_x)
Arguments
dim
dimension of interest (dim = 0 is the first coordinate)
x
evaluation points along dim
other_x
conditional values
Value
density values
jeremyhengjm/GibbsFlow documentation built on Feb. 14, 2021, 9:21 p.m.
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Description Usage Arguments Value
Description
Evaluate conditional density of multivariate Gaussian prior
Usage
1 | coxprocess_logprior_conditional(dim, x, other_x)
|
Arguments
dim |
dimension of interest (dim = 0 is the first coordinate) |
x |
evaluation points along dim |
other_x |
conditional values |
Value
density values
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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