mjmcmc.parallel: Run multiple mjmcmc runs in parallel, merging the results...

In FBMS: Flexible Bayesian Model Selection and Model Averaging

Run multiple mjmcmc runs in parallel, merging the results before returning.

Description

Run multiple mjmcmc runs in parallel, merging the results before returning.

Usage

mjmcmc.parallel(runs = 2, cores = getOption("mc.cores", 2L), ...)

Arguments

runs	The number of runs to run
cores	The number of cores to run on
...	Further parameters passed to mjmcmc.

Value

Merged results from multiple mjmcmc runs

Examples

result <- mjmcmc.parallel(runs = 1, 
cores = 1, 
loglik.pi = FBMS::gaussian.loglik,
y = matrix(rnorm(100), 100),
x = matrix(rnorm(600), 100))
summary(result)
plot(result)

FBMS documentation built on Sept. 13, 2025, 1:09 a.m.