single_kernel_hmc: HMC kernel for a single MCMC chain that target probability...
In jeremyhengjm/UnbiasedMultilevel: Unbiased estimators for discretized models
Description
Usage
Arguments
Value
Description
Generation of HMC proposal vil leapfrog integration and accept/reject step
Usage
1
single_hmc_kernel(level, state, tuning)
Arguments
level
a integer that determines density of probability distribution inthe multi-level approach
state
a list with current position of the particle (element of the chain) and log of the density of probability distribution
tuning
a list of parameters for HMC iteration: stepsize and number of steps
Value
a updated state of the chain and cost of computations
jeremyhengjm/UnbiasedMultilevel documentation built on Dec. 20, 2021, 11:03 p.m.
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Description Usage Arguments Value
Description
Generation of HMC proposal vil leapfrog integration and accept/reject step
Usage
1 | single_hmc_kernel(level, state, tuning)
|
Arguments
level |
a integer that determines density of probability distribution inthe multi-level approach |
state |
a list with current position of the particle (element of the chain) and log of the density of probability distribution |
tuning |
a list of parameters for HMC iteration: stepsize and number of steps |
Value
a updated state of the chain and cost of computations
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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