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glmulti (version 0.7)

summary.glmulti: Handling glmulti objects

Description

These standard S3 functions can be applied on glmulti to print a short report, obtain a more detailed summary, or produce different types of graphics.

Usage

# S3 summary method for class 'glmulti'
summary.glmulti(object, ...)

# S3 print method for class 'glmulti'
print.glmulti(x, ...)


# S3 plot method for class 'glmulti'
plot.glmulti(x, type="p", ...)

Arguments

object
A glmulti object
x
An object of class glmulti
type
The type of graph to be produced. One of "p" or "w" (see below).
...
Further arguments.

Value

  • plot can be used to have a graphical representation of the results. Two types are proposed: type="p" plots the IC profile (the IC values form the best to the worst model). A horizontal line delineates models that are less than 2 IC units away from the best model. type="w" plots the normalized evidence weights of the models. A vertical line delineates models that sum um to 95 print prints a brief synthesis of the analysis (e.g. the best model found, its IC value and evidence weight...) summary returns a list with more detailed elements:
  • namethe name of the analysis
  • methodThe method used
  • fittingThe fitting function used
  • critThe IC used
  • levelWhether interactions between predictors were considered or not
  • marginalityWhether the marginality rule was applied
  • confsetsizeThe requested size of the confidence set
  • besticThe lowest IC found
  • icvaluesThe IC values of the models in the confidence set, from lower to greater
  • bestmodelA list containing the formula of the best model found, or of the best models found if several had the same IC value
  • generationsThe number of generations it took to converge. For genetic algorithm only.
  • elapsedThe actual (system) time it took. For genetic algorithm only.

Details

The name of the returned object is the name of the first object passed, with "consensus-" prepended. The params slot of the returned object is taken from the first object too.

References

Calcagno & de Mazancourt 2010 J. Stat. Soft. v34 i12. See http://www.jstatsoft.org/v34/i12

See Also

glmulti