convert_to_mcmc: Convert the output of multMixNRMI into a coda mcmc object
In BNPdensity: Ferguson-Klass Type Algorithm for Posterior Normalized Random Measures
View source: R/convert_fit_to_MCMC_chain.R
convert_to_mcmc R Documentation
Convert the output of multMixNRMI into a coda mcmc object
Description
Convert the output of multMixNRMI into a coda mcmc object
Usage
convert_to_mcmc(fitlist, thinning_to = 1000, ncores = parallel::detectCores())
Arguments
fitlist
Output of multMixNRMI.
thinning_to
Final length of the chain after thinning.
ncores
Specify the number of cores to use in the conversion
Value
a coda::mcmc object
BNPdensity documentation built on April 1, 2023, 12:10 a.m.
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View source: R/convert_fit_to_MCMC_chain.R
| convert_to_mcmc | R Documentation |
Convert the output of multMixNRMI into a coda mcmc object
Description
Convert the output of multMixNRMI into a coda mcmc object
Usage
convert_to_mcmc(fitlist, thinning_to = 1000, ncores = parallel::detectCores())
Arguments
fitlist |
Output of multMixNRMI. |
thinning_to |
Final length of the chain after thinning. |
ncores |
Specify the number of cores to use in the conversion |
Value
a coda::mcmc object
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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