Model selection and multimodel inference based on (Q)AIC(c)

Documentation for package ‘AICcmodavg’ version 1.03

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AICcmodavg-package	Model Selection and Multimodel Inference Based on (Q)AIC(c)
AICc	Computing AIC, AICc, QAIC, and QAICc
AICc.glm	Computing AIC, AICc, QAIC, and QAICc
AICc.lme	Computing AIC, AICc, QAIC, and QAICc
AICc.mult	Computing AIC, AICc, QAIC, and QAICc
AICc.polr	Computing AIC, AICc, QAIC, and QAICc
AICcmodavg	Model Selection and Multimodel Inference Based on (Q)AIC(c)
aictab	Create Model Selection Tables
aictab.glm	Create Model Selection Tables
aictab.lme	Create Model Selection Tables
aictab.mult	Create Model Selection Tables
aictab.polr	Create Model Selection Tables
beetle	Flour beetle data.
cement	Heat expended following hardening of Portland cement.
confset	Computing Confidence Set for the Kullback-Leibler Best Model
c_hat	Compute Estimate of Dispersion for Poisson and Binomial GLM's
dry.frog	Frog dehydration experiment on three different substrate types.
evidence	Compute Evidence Ratio Between Two Models
importance	Compute Importance Values of Variable
min.trap	Anuran larvae counts in minnow traps across pond type.
modavg	Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavg.glm	Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavg.lme	Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavg.mult	Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavg.polr	Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavgpred	Compute Model-averaged Predictions
pine	Strength of pine wood based on the density adjusted for resin content.
print.aictab	Create Model Selection Tables
print.confset	Computing Confidence Set for the Kullback-Leibler Best Model
print.evidence	Compute Evidence Ratio Between Two Models
print.importance	Compute Importance Values of Variable
print.modavg	Compute Model-averaged Parameter Estimate (Multimodel Inference)
print.modavgpred	Compute Model-averaged Predictions