SumMCMC: Summarize MCMC

In bfw: Bayesian Framework for Computational Modeling

Summarize MCMC

Description

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

Usage

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 March 18, 2022, 6:19 p.m.