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| AICcmodavg-package | Model Selection and Multimodel Inference Based on (Q)AIC(c) |
| AICc | Computing AIC, AICc, QAIC, and QAICc |
| AICc.clm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.clmm | Computing AIC, AICc, QAIC, and QAICc |
| AICc.coxph | 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.nlme | Computing AIC, AICc, QAIC, and QAICc |
| AICc.nls | Computing AIC, AICc, QAIC, and QAICc |
| AICc.polr | Computing AIC, AICc, QAIC, and QAICc |
| AICc.rlm | 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.clm | Create Model Selection Tables |
| aictab.clmm | Create Model Selection Tables |
| aictab.coxph | 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.nlme | Create Model Selection Tables |
| aictab.nls | Create Model Selection Tables |
| aictab.polr | Create Model Selection Tables |
| aictab.rlm | 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 | Extract Log-Likelihood of Model |
| extract.LL.coxph | Extract Log-Likelihood of Model |
| 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.clm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.clmm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.coxph | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.effect | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavg.effect.glm | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavg.effect.gls | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavg.effect.lme | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavg.effect.mer | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavg.effect.rlm | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| modavg.effect.unmarked | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| 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.rlm | Compute Model-averaged Parameter Estimate (Multimodel Inference) |
| modavg.shrink | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavg.shrink.clm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavg.shrink.clmm | Compute Model-averaged Parameter Estimate with Shrinkage (Multimodel Inference) |
| modavg.shrink.coxph | 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.rlm | 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.rlm | 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 |
| predictSE.zip | 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.effect | Compute Model-averaged Effect Sizes (Multimodel Inference on Group Differences) |
| 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 |