START_PARALLEL: START_PARALLEL
In mrparker909/redNMix: An R package for N-mixtures models.
Description
Usage
Arguments
Examples
View source: R/fit_reduced_count_models.R
Description
Used to initialize parallel computing (useful for likelihood calculations which can be computationally intensive).
Usage
1
START_PARALLEL(num_cores)
Arguments
num_cores
Number of cores to use for parallel processing.
Examples
1
2
3
4
5
6
START_PARALLEL(4)
Y <- gen_Nmix_closed(16,8,50,0.5)
out <- fit_red_Nmix_closed(Y$nit, red=10, K=100, starts = c(log(40),boot::logit(0.5)), PARALLELIZE=TRUE)
END_PARALLEL()
out
mrparker909/redNMix documentation built on April 4, 2020, 12:24 a.m.
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Description Usage Arguments Examples
View source: R/fit_reduced_count_models.R
Description
Used to initialize parallel computing (useful for likelihood calculations which can be computationally intensive).
Usage
1 | START_PARALLEL(num_cores)
|
Arguments
num_cores |
Number of cores to use for parallel processing. |
Examples
1 2 3 4 5 6 | START_PARALLEL(4)
Y <- gen_Nmix_closed(16,8,50,0.5)
out <- fit_red_Nmix_closed(Y$nit, red=10, K=100, starts = c(log(40),boot::logit(0.5)), PARALLELIZE=TRUE)
END_PARALLEL()
out
|
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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