get_rm_hmc_kernel: Construct Riemann manifold Hamiltonian Monte Carlo kernel for...
In jeremyhengjm/GibbsFlow: Gibbs Flow for Approximate Transport
Description
Usage
Arguments
Value
View source: R/rm_hmc_kernel.R
Description
Construct Riemann manifold Hamiltonian Monte Carlo kernel for Cox process application
Usage
1
get_rm_hmc_kernel(logtarget, gradlogtarget, parameters)
Arguments
logtarget
evaluates log density of the target distribution
gradlogtarget
evaluates gradient of the log target density
parameters
list with keys:
stepsize specifies stepsize of leap-frog discretization,
nsteps specifies number of leap-frog steps
metric specifies metric tensor
Value
list with key: kernel
jeremyhengjm/GibbsFlow documentation built on Feb. 14, 2021, 9:21 p.m.
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Description Usage Arguments Value
View source: R/rm_hmc_kernel.R
Description
Construct Riemann manifold Hamiltonian Monte Carlo kernel for Cox process application
Usage
1 | get_rm_hmc_kernel(logtarget, gradlogtarget, parameters)
|
Arguments
logtarget |
evaluates log density of the target distribution |
gradlogtarget |
evaluates gradient of the log target density |
parameters |
list with keys:
|
Value
list with key: kernel
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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