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

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Documentation for package ‘AICcmodavg’ version 1.20

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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.gls Computing AIC, AICc, QAIC, and QAICc
AICc.lme Computing AIC, AICc, QAIC, and QAICc
AICc.mer Computing AIC, AICc, QAIC, and QAICc
AICc.mult Computing AIC, AICc, QAIC, and QAICc
AICc.nls Computing AIC, AICc, QAIC, and QAICc
AICc.polr Computing AIC, AICc, QAIC, and QAICc
AICc.unmarked 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.gls Create Model Selection Tables
aictab.lme Create Model Selection Tables
aictab.mer Create Model Selection Tables
aictab.mult Create Model Selection Tables
aictab.nls Create Model Selection Tables
aictab.polr Create Model Selection Tables
aictab.unmarked 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
extract.LL.unmarked Extract Log-Likelihood of Model
extractSE.mer Extract SE of Fixed Effects of 'glmer' Fit
fam.link.mer Extract Distribution Family and Link Function
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.gls Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavg.lme Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavg.mer 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)
modavg.shrink Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.shrink.glm Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.shrink.gls Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.shrink.lme Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.shrink.mer Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.shrink.mult Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.shrink.polr Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.shrink.unmarked Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
modavg.unmarked Compute Model-averaged Parameter Estimate (Multimodel Inference)
modavgpred Compute Model-averaged Predictions
modavgpred.glm Compute Model-averaged Predictions
modavgpred.gls Compute Model-averaged Predictions
modavgpred.lme Compute Model-averaged Predictions
modavgpred.mer Compute Model-averaged Predictions
modavgpred.unmarked Compute Model-averaged Predictions
pine Strength of pine wood based on the density adjusted for resin content.
predictSE.gls Computing Predicted Values and Standard Errors
predictSE.lme Computing Predicted Values and Standard Errors
predictSE.mer Computing Predicted Values and Standard Errors
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.modavg.shrink Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference)
print.modavgpred Compute Model-averaged Predictions
reverse.exclude Accomodate Different Specifications of Interaction Terms
reverse.parm Accomodate Different Specifications of Interaction Terms