SumMCMC: Summarize MCMC

Description Usage Arguments See Also

View source: R/mcmc_summary.R

Description

The function provide a summary of each parameter of interest (mean, median, mode, effective sample size (ESS), HDI and n)

Usage

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SumMCMC(
  par,
  par.names,
  job.names = NULL,
  job.group = NULL,
  credible.region = 0.95,
  ROPE = NULL,
  n.data,
  ...
)

Arguments

par

defined parameter

par.names

parameter names

job.names

names of all parameters in analysis, Default: NULL

job.group

for some hierarchical models with several layers of parameter names (e.g., latent and observed parameters), Default: NULL

credible.region

summarize uncertainty by defining a region of most credible values (e.g., 95 percent of the distribution), Default: 0.95

ROPE

define range for region of practical equivalence (e.g., c(-0.05 , 0.05), Default: NULL

n.data

sample size for each parameter

...

further arguments passed to or from other methods

See Also

effectiveSize


bfw documentation built on Jan. 11, 2020, 9:29 a.m.