simpact.parallel: Distribute simpact runs over multiple cores
In wdelva/RSimpactHelp: Pre- and Post-simulation helper functions for RSimpact Cyan
Description
Usage
Arguments
Value
View source: R/simpact.parallel.R
Description
A short description here...
Usage
1
2
3
simpact.parallel(model = simpact.wrapper,
actual.input.matrix = matrix(rep(c(1:15), 16), nrow = 16), seed_count = 0,
n_cluster = 8)
Arguments
model
Wrapper function for running simpact (simpact.wrapper)
actual.input.matrix
Matrix with parameter combinations to be run
seed_count
Origin of random number seed
n_cluster
Number of cores available for parallel running of Simpact
Value
a matrix of model features and the seed of the random number
generator
wdelva/RSimpactHelp documentation built on Dec. 26, 2019, 3:42 a.m.
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Description Usage Arguments Value
View source: R/simpact.parallel.R
Description
A short description here...
Usage
1 2 3 | simpact.parallel(model = simpact.wrapper,
actual.input.matrix = matrix(rep(c(1:15), 16), nrow = 16), seed_count = 0,
n_cluster = 8)
|
Arguments
model |
Wrapper function for running simpact (simpact.wrapper) |
actual.input.matrix |
Matrix with parameter combinations to be run |
seed_count |
Origin of random number seed |
n_cluster |
Number of cores available for parallel running of Simpact |
Value
a matrix of model features and the seed of the random number generator
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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