SumMCMC {bfw} | R Documentation |
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
[Package bfw version 0.4.2 Index]