DiffusionRjgqd (version 0.1.1)

JGQD.dic: Summarize MCMC Selection Output for a List of JGQD.mcmc or BiJGQD.mcmc Objects.

Description

JGQD.dic() summarizes the MCMC output from a list of JGQD.mcmc() objects. This may be used to neatly summarize the MCMC output of various models fitted to a given dataset.

Usage

JGQD.dic(model.list, type = "col")

Arguments

model.list

A list of JGQD.mcmc() objects.

type

Shoould output be of row ('row') or column ('col') format.

Value

Details

JGQD.dic() summarizes the output from various models fitted via JGQD.mcmc(). By ranking them according to DIC. [=] indicates which model has the minimal DIC.

	Elapsed_Time	Time_Homogeneous	p	DIC	pD
N	Model 1	00:00:47	No	5.00	389.30
3.92	201	Model 2	00:01:00	No	5.00
[=]386.45	4.13	201	Model 3	00:02:50	No
5.00	391.37	3.94	201		Elapsed_Time

References

Updates available on GitHub at https://github.com/eta21.

See Also

JGQD.mcmc

Examples

#===============================================================================

 # For detailed notes and examples on how to use the BiJGQD.dic() function, see
 # the following vignette:

 RShowDoc('Part_4_Likelihood_Inference',type='html','DiffusionRjgqd')

#===============================================================================