#' @rdname maximal4_rwmh_independent_coupling
#' @title independent maximal coupling of 4 RWM proposals
#' @description Generate RWM proposals for two chains via maximal coupling for pairs of chains at the coarse and fine levels independently
#' @param chain_state_coarse1 a vector with coordinates of the first particle at the coarse level
#' @param chain_state_coarse2 a vector with coordinates of the second particle at the coarse level
#' @param chain_state_fine1 a vector with coordinates of the first particle at the fine level
#' @param chain_state_fine2 a vector with coordinates of the second particle at the fine level
#' @param identical_coarse a flag that is True if chains at the coarse level are identical (coincide) and False otherwise
#' @param identical_fine a flag that is True if chains at the fine level are identical (coincide) and False otherwise
#' @param tuning_coarse a list that contains parameters needed for genertaion of pCN proposal at the coarse level: standard devation and rho
#' @param tuning_coarse a list that contains parameters needed for genertaion of RWM proposal at the fine level: standard devation
#'@return a list that contains state of the first chain at the coarse level, state of the second chain at the coarse level, state of the second chain, updated values of flags "identical_coarse" and "identical_fine", cost of proposal generation
#'@export
maximal4_rwmh_independent_coupling <- function(chain_state_coarse1, chain_state_coarse2,
chain_state_fine1, chain_state_fine2,
identical_coarse, identical_fine,
tuning_coarse, tuning_fine){
cost = 0 # cost of proposal generation
# sample 2-way maximal coupling for coarse chain
maximal_output <- maximal2_rwmh_coupling(chain_state_coarse1, chain_state_coarse2, identical_coarse, tuning_coarse)
coarse1 <- maximal_output$state1
coarse2 <- maximal_output$state2
identical_coarse <- maximal_output$identical
# sample 2-way maximal coupling for fine chain
maximal_output <- maximal2_rwmh_coupling(chain_state_fine1, chain_state_fine2, identical_fine, tuning_fine)
fine1 <- maximal_output$state1
fine2 <- maximal_output$state2
identical_fine <- maximal_output$identical
return(list(coarse1 = coarse1, coarse2 = coarse2, fine1 = fine1, fine2 = fine2,
identical_coarse = identical_coarse, identical_fine = identical_fine, cost = cost))
}
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