parLply: Parallel compute
In estsyawo/bayesdistreg: Bayesian Distribution Regression
parLply R Documentation
Parallel compute
Description
parLply uses parLapply with a function as input
Usage
parLply(vec, fn, type = "FORK", no_cores = 1, ...)
Arguments
vec
vector of inputs over which to parallel compute
fn
the function
type
this option is set to "FORK", use "PSOCK" on windows
no_cores
the number of cores to use. Defaults at 1
...
extra inputs to fn()
Value
out parallel computed output
estsyawo/bayesdistreg documentation built on Jan. 28, 2024, 12:13 p.m.
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| parLply | R Documentation |
Parallel compute
Description
parLply uses parLapply with a function as input
Usage
parLply(vec, fn, type = "FORK", no_cores = 1, ...)
Arguments
vec |
vector of inputs over which to parallel compute |
fn |
the function |
type |
this option is set to "FORK", use "PSOCK" on windows |
no_cores |
the number of cores to use. Defaults at 1 |
... |
extra inputs to |
Value
out parallel computed output
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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