rm_mala_kernel: Get Riemann manifold coupled Metropolis adjusted Langevin...
In jeremyhengjm/debiasedhmc: Debiased Hamiltonian Monte Carlo with couplings

Description Usage Arguments Value

This function takes descriptions of the target and tuning parameters, and returns a list containing the keys single_kernel, coupled_kernel corresponding to marginal and coupled MALA kernels. These kernels can then be used in the function coupled_chains.

1 2	get_rm_mala_kernel(logtarget, gradlogtarget, stepsize, dimension, adaptive_tol, metric)

`logtarget`	function to compute target log-density, e.g. see `get_mvnormal`
`gradlogtarget`	function to compute gradient of target log-density, e.g. see `get_mvnormal`
`stepsize`	standard deviation of Gaussian increment
`dimension`	dimension of the target distribution
`adaptive_tol`	threshold below which maximal coupling is triggered
`metric`	metric tensor