summary.glmulti {glmulti}R Documentation

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.

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.

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.

Author(s)

Vincent Calcagno, McGill University

See Also

glmulti


[Package glmulti version 0.6-2 Index]