hzar.AIC.hzar.obsDataGroup: Generate an AIC score table.

In hzar: Hybrid Zone Analysis using R

Description

Calculate the AIC or corrected AIC score table for the given hzar.obsDataGroup object. There will be one score generated for each model associated with this object.

Usage

  hzar.AIC.hzar.obsDataGroup(obsDataGroup, label = "AIC",
    show.count = FALSE, show.param = FALSE)
  hzar.AICc.hzar.obsDataGroup(obsDataGroup, label = "AICc",
    show.count = FALSE, show.param = FALSE) 

Arguments

obsDataGroup	The hzar.obsDataGroup object for which to generate the score table.
label	The name to use for the score column.
show.count	Include an addition column with a count of the number of free parameters.
show.param	Currently does nothing. Include additional columns with the parameter values of the maximum likelhood model for each score.

Value

A data frame with at least one column, with the label specified above.

If the models in the obsDataGroup have names, then the rownames of the data frame are the models' names.

If show.count is TRUE, the result will have one additional column with the label "count". For each score this column will have the number of free parameters.

Author(s)

Graham Derryberry [e-mail]

See Also

AIC hzar.AIC.default

Examples

##TODO

Example output

Loading required package: MCMCpack
Loading required package: coda
Loading required package: MASS
##
## Markov Chain Monte Carlo Package (MCMCpack)
## Copyright (C) 2003-2019 Andrew D. Martin, Kevin M. Quinn, and Jong Hee Park
##
## Support provided by the U.S. National Science Foundation
## (Grants SES-0350646 and SES-0350613)
##
Loading required package: foreach

hzar documentation built on May 2, 2019, 7 a.m.