MuMIn (version 1.15.1)

model.selection.object: Description of Model Selection Objects

Description

An object of class "model.selection" holds a table of model coefficients and ranking statistics. It is a produced by dredge or model.sel.

Value

• The object is a data.frame with additional attributes. Each row represents one model. The models are ordered by the information criterion value specified by rank (lowest on top). Data frame columns:
• model terms
  For numeric covariates these columns hold coeficent value, for factors their presence in the model. If the term is not present in a model, value is NA.
• varying arguments
  optional. If any arguments differ between the modelling function calls (except for formulas and some other arguments), these will be held in additional columns (of class "factor").
• "df"
  Number of model parameters
• "logLik"
  Log-likelihood (or quasi-likelihood for GEE)
• rank
  Information criterion value
• "delta"
  latex{$\Delta_{IC}$}{Δ{Delta}_IC}
• "weight"
  Akaike weights.
• Attributes:
• model.calls
  A list containing model calls (arranged in the same order as in the table). A model call can be retrieved with getCall(*, i) where i is a vector of model index or name (if given as character string).
• global
  The global.model object
• global.call
  Call to the global.model
• terms
  A character string holding all term names. Attribute "interceptLabel" gives the name of intercept term.
• rank
  The rank function used
• beta
  A character string, representing the coefficient standardizing method used. Either "none", "sd" or "partial.sd"
• coefTables
  List of matrices of class "coefTable" containing each model's coefficents with std. errors and associated dfs
• nobs
  Number of observations
• warnings
  optional (pdredge only). A list of errors and warnings issued by the modelling function during the fitting, with model number appended to each.
• Most attributes does not need (and should not) be accessed directly, use of extractor functions is preferred. These functions include getCall for retrieving model calls, coefTable and coef for coefficiens, and nobs. logLik extracts list of model log-likelihoods (as "logLik" objects), and Weights extracts Akaike weights. The object has class c("model.selection", "data.frame").

See Also

dredge, model.sel.