summarizeMCMC: MCMC Summary
In denis-arnold/TreeBUGS: Hierarchical Multinomial Processing Tree Modeling
View source: R/summarizeMCMC.R
summarizeMCMC R Documentation
MCMC Summary
Description
TreeBUGS-specific MCMC summary for mcmc.list-objects.
Usage
summarizeMCMC(mcmc, batchSize = 50, probs = c(0.025, 0.5, 0.975))
Arguments
mcmc
a mcmc.list object
batchSize
size of batches of parameters used to reduce memory load
when computing posterior summary statistics (including Rhat and effective
sample size).
probs
quantile probabilities used to compute credibility intervals
denis-arnold/TreeBUGS documentation built on May 13, 2024, 6:34 p.m.
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View source: R/summarizeMCMC.R
| summarizeMCMC | R Documentation |
MCMC Summary
Description
TreeBUGS-specific MCMC summary for mcmc.list-objects.
Usage
summarizeMCMC(mcmc, batchSize = 50, probs = c(0.025, 0.5, 0.975))
Arguments
mcmc |
a |
batchSize |
size of batches of parameters used to reduce memory load when computing posterior summary statistics (including Rhat and effective sample size). |
probs |
quantile probabilities used to compute credibility intervals |
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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