QAIC
(Package: MuMIn) :
Quasi AIC or AICc
Calculate a modification of Akaike's Information Criterion for overdispersed count data (or its version corrected for small sample, “quasi-AICc”), for one or several fitted model objects.
● Data Source:
CranContrib
● Keywords: models
● Alias: QAIC, QAICc
●
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r.squaredLR
(Package: MuMIn) :
Likelihood-ratio based pseudo-R-squared
Calculate a coefficient of determination based on the likelihood-ratio test (R_LR²).
● Data Source:
CranContrib
● Keywords: models
● Alias: null.fit, r.squaredLR
●
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dredge
(Package: MuMIn) :
Automated model selection
Generate a set of models with combinations (subsets) of terms in the global model, with optional rules for model inclusion.
● Data Source:
CranContrib
● Keywords: models
● Alias: V, dc, dredge, print.model.selection
●
1 images
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predict.averaging
(Package: MuMIn) :
Predict method for averaged models
Model-averaged predictions, optionally with standard errors.
● Data Source:
CranContrib
● Keywords: models
● Alias: predict.averaging
●
1 images
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exprApply
(Package: MuMIn) :
Apply a function to calls inside an expression
Apply function FUN to each occurence of a call to what() (or a symbol what) in an unevaluated expression. It can be used for advanced manipulation of expressions. Intended primarily for internal use.
● Data Source:
CranContrib
● Keywords: manip
● Alias: exprApply
●
0 images
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MuMIn-models
(Package: MuMIn) :
List of supported models
List of model classes accepted by model.avg, model.sel, and dredge.
● Data Source:
CranContrib
● Keywords: package
● Alias: MuMIn-models
●
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std.coef
(Package: MuMIn) :
Standardized model coefficients
Standardize model coefficients by Standard Deviation or Partial Standard Deviation.
● Data Source:
CranContrib
● Keywords: models
● Alias: beta.weights, partial.sd, std.coef
●
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model.sel
(Package: MuMIn) :
model selection table
Build a model selection table.
● Data Source:
CranContrib
● Keywords: models
● Alias: mod.sel, model.sel, model.sel.default, model.sel.model.selection
●
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nested
(Package: MuMIn) :
Identify nested models
Find models that are ‘nested’ within each model in the model selection table.
● Data Source:
CranContrib
● Keywords: models
● Alias: nested
●
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model.avg
(Package: MuMIn) :
Model averaging
Model averaging based on an information criterion.
● Data Source:
CranContrib
● Keywords: models
● Alias: model.avg, model.avg.default, model.avg.model.selection, print.averaging
●
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providing 
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