gmjmcmc.parallel {FBMS} | R Documentation |
Run multiple gmjmcmc (Genetically Modified MJMCMC) runs in parallel returning a list of all results.
Description
Run multiple gmjmcmc (Genetically Modified MJMCMC) 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 |
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
Examples
result <- gmjmcmc.parallel(
runs = 1,
cores = 1,
list(populations = "best", complex.measure = 2, tol = 0.0000001),
matrix(rnorm(600), 100),
P = 2,
gaussian.loglik,
loglik.alpha = gaussian.loglik.alpha,
c("p0", "exp_dbl")
)
summary(result)
plot(result)
[Package FBMS version 1.0 Index]