JGQD.dic: Summarize MCMC Selection Output for a List of JGQD.mcmc or...
In eta21/DiffusionRjgqd: Inference and Analysis for Jump Generalized Quadratic Diffusions

Description Usage Arguments Details Value Author(s) References See Also Examples

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.

1	JGQD.dic(model.list, type = "col")

`model.list`	A list of `JGQD.mcmc()` objects.
`type`	Shoould output be of row (`'row'`) or column (`'col'`) format.

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

A data frame with summary of model output. See Details.

Etienne A.D. Pienaar: etiannead@gmail.com

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

JGQD.mcmc

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

 # 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')

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