glmulti (version 0.6-2)

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", highlight=c(), ...)

Arguments

object

x

An object of class glmulti

type

The type of graph to be produced. One of "p", "w" or "s" (see below).

highlight

A list of terms to be highlighted in the graph. The models containing these terms are shown in yellow. Example: c("a:b")

...

Further arguments.

Value

• plot can be used to have a graphical representation of the results. Three 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 type="s" plots the relative importance of each term (main effects and interactions), across all models. Terms are sorted by type (categorical, quantitative, interactions, ...). 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:
• name
  the name of the analysis
• method
  The method used
• fitting
  The fitting function used
• crit
  The IC used
• level
  Whether interactions between predictors were considered or not
• marginality
  Whether the marginality rule was applied
• confsetsize
  The requested size of the confidence set
• bestic
  The lowest IC found
• icvalues
  The IC values of the models in the confidence set, from lower to greater
• bestmodel
  A list containing the formula of the best model found, or of the best models found if several had the same IC value
• termweights
  The relative importance of each term included in the model, i.e. the sum of the relative weights of all models in which the term was found.
• bestmodel
  A list containing the formula of the best model found, or of the best models found if several had the same IC value
• generations
  The number of generations it took to converge. For genetic algorithm only.
• elapsed
  The 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.

See Also

glmulti