gmjmcmc.parallel: Run multiple gmjmcmc runs in parallel returning a list of all...

In jonlachmann/GMJMCMC: Genetically Modified Mode Jumping MCMC

Run multiple gmjmcmc runs in parallel returning a list of all results.

Description

Run multiple gmjmcmc runs in parallel returning a list of all results.

Usage

gmjmcmc.parallel(
  runs,
  cores = getOption("mc.cores", 2L),
  merge.options = list(populations = "best", complex.measure = 2, tol = 1e-07),
  data,
  loglik.pi = gaussian.loglik,
  loglik.alpha = gaussian.loglik.alpha(),
  transforms,
  ...
)

Arguments

runs	The number of runs to run
cores	The number of cores to run on
merge.options	A list of options to pass to the merge_results() function run after the
data	A matrix containing the data to use in the algorithm, first column should be the dependent variable, second should be the intercept and the rest of the columns should be the independent variables.
loglik.pi	The (log) density to explore
loglik.alpha	The likelihood function to use for alpha calculation
transforms	A Character vector including the names of the non-linear functions to be used by the modification and the projection operator.
...	Further params passed to mjmcmc.

Value

Results from multiple gmjmcmc runs

jonlachmann/GMJMCMC documentation built on April 22, 2024, 4:21 a.m.