gbi_MCMC_iters: Minimum number of MCMC iterations needed for...
In MNWeiss/aninet: Statistical Models for Animal Social Networks
View source: R/gbi_null_models.R
gbi_MCMC_iters R Documentation
Minimum number of MCMC iterations needed for Group-by-Individuals randomisations.
Description
Uses an analytically-derived equation to estimate the minimum number of MCMC iterations required to generate a target number of effective samples from the null.
This function should only be used as a rough guide before running computationally intensive randomisations with gbi_MCMC. The true number of MCMC iterations may need to be much higher, so MCMC diagnostics should always be used to verify that samples are reliable.
Usage
gbi_MCMC_iters(gbi, target_samples = 1000, quiet = FALSE)
Arguments
gbi
A group by individual matrix
target_samples
Target number of effective samples
quiet
Logical, should messages produced by the function be suppressed?
Value
The minimum number of MCMC iterations required to generate target_samples effective samples.
MNWeiss/aninet documentation built on Jan. 31, 2023, 3:55 a.m.
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View source: R/gbi_null_models.R
| gbi_MCMC_iters | R Documentation |
Minimum number of MCMC iterations needed for Group-by-Individuals randomisations.
Description
Uses an analytically-derived equation to estimate the minimum number of MCMC iterations required to generate a target number of effective samples from the null.
This function should only be used as a rough guide before running computationally intensive randomisations with gbi_MCMC. The true number of MCMC iterations may need to be much higher, so MCMC diagnostics should always be used to verify that samples are reliable.
Usage
gbi_MCMC_iters(gbi, target_samples = 1000, quiet = FALSE)
Arguments
gbi |
A group by individual matrix |
target_samples |
Target number of effective samples |
quiet |
Logical, should messages produced by the function be suppressed? |
Value
The minimum number of MCMC iterations required to generate target_samples effective samples.
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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