View source: R/univariate_Gaussian_fusion.R
bal_binary_fusion_uniGaussian | R Documentation |
(Balanced Binary) D&C Monte Carlo Fusion with univariate Gaussian target
bal_binary_fusion_uniGaussian( N_schedule, m_schedule, time_schedule, base_samples, L, mean, sd, start_beta, precondition = TRUE, seed = NULL, n_cores = parallel::detectCores() )
N_schedule |
vector of length (L-1), where N_schedule[l] is the number of samples per node at level l |
m_schedule |
vector of length (L-1), where m_schedule[l] is the number of samples to fuse for level l |
time_schedule |
vector of length(L-1), where time_schedule[l] is the time chosen for Fusion at level l |
base_samples |
list of length (1/start_beta), where base_samples[[c]] contains the samples for the c-th node in the level |
L |
total number of levels in the hierarchy |
mean |
mean value |
sd |
standard deviation value |
start_beta |
beta for the base level |
precondition |
either a logical value to determine if preconditioning values are used (TRUE - and is set to be the variance of the sub-posterior samples) or not (FALSE - and is set to be 1 for all sub-posteriors), or a list of length (1/start_beta) where precondition[[c]] is the preconditioning value for sub-posterior c. Default is TRUE |
seed |
seed number - default is NULL, meaning there is no seed |
n_cores |
number of cores to use |
A list with components:
list of length (L-1), where samples[[l]][[i]] are the samples for level l, node i
list of length (L-1), where time[[l]][[i]] is the run time for level l, node i
list of length (L-1), where rho_acc[[l]][i] is the acceptance rate for first fusion step for level l, node i
list of length (L-1), where Q_acc[[l]][i] is the acceptance rate for second fusion step for level l, node i
list of length (L-1), where rhoQ_acc[[l]][i] is the overall acceptance rate for fusion for level l, node i
vector of length (L-1), where diffusion_times[l] are the times for fusion in level l (= time_schedule)
preconditioning values used in the algorithm for each node
vector of length (L-1), where overall_rho[k] is overall acceptance rate for rho of level l
vector of length (L-1), where overall_Q[k] is overall acceptance rate for Q of level l
vector of length (L-1), where overall_rhoQ[k] is overall acceptance rate for rho*Q of level l
vector of length (L-1), where overall_time[k] is overall taken for level l
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