mclapplySB: Size balancing version of mclapply
In dclone: Data Cloning and MCMC Tools for Maximum Likelihood Methods

Description Usage Arguments Details Value Author(s) See Also

mclapplySB is a size balancing version of mclapply.

mclapplySB(X, FUN, ..., 
    mc.preschedule = TRUE, mc.set.seed = TRUE,
    mc.silent = FALSE, mc.cores = 1L,
    mc.cleanup = TRUE, mc.allow.recursive = TRUE, 
    size = 1)

`X`	a vector (atomic or list) or an expressions vector. Other objects (including classed objects) will be coerced by `as.list`.
`FUN`	the function to be applied to each element of `X`
`...`	optional arguments to `FUN`
`mc.preschedule`	see `mclapply`
`mc.set.seed`	see `mclapply`
`mc.silent`	see `mclapply`
`mc.cores`	The number of cores to use, i.e. how many processes will be spawned (at most)
`mc.cleanup`	see `mclapply`
`mc.allow.recursive`	see `mclapply`
`size`	Vector of problem sizes (or relative performance information) corresponding to elements of `X` (recycled if needed). The default `1` indicates equality of problem sizes.

mclapply gives details of the forking mechanism.

mclapply is used unmodified if sizes of the jobs are equal (length(unique(size)) == 1). Size balancing (as described in snowWrapper) is used to balance workload on the child processes otherwise.

A list.

Peter Solymos

mclapply, snowWrapper

dclone documentation built on May 2, 2019, 6:08 p.m.