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.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.gls |
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.gls |
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 |
modavgpred.glm |
Compute Model-averaged Predictions |
modavgpred.lme |
Compute Model-averaged Predictions |
pine |
Strength of pine wood based on the density adjusted for resin content. |
predictSE.lme |
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.modavgpred |
Compute Model-averaged Predictions |