Man pages for MuMIn
Multi-Model Inference
| AICc | Second-order Akaike Information Criterion |
| arm.glm | Adaptive Regression by Mixing |
| BGweights | Bates-Granger minimal variance model weights |
| bootWeights | Bootstrap model weights |
| coefplot | Plot model coefficients |
| cos2weights | Cos-squared model weights |
| data-Beetle | Flour beetle mortality data |
| data-Cement | Cement hardening data |
| data-GPA | Grade Point Average data |
| dredge | Automated model selection |
| exprApply | Apply a function to calls inside an expression |
| get.models | Retrieve models from selection table |
| ICs | Various information criteria |
| jackknifeWeights | Jackknifed model weights |
| loo | Leave-one-out cross-validation |
| manip-formula | Manipulate model formulas |
| merge.model.selection | Combine model selection tables |
| model.avg | Model averaging |
| model.sel | model selection table |
| model.selection.object | Description of Model Selection Objects |
| model-utils | Model utility functions |
| MuMIn-package | Multi-model inference |
| nested | Identify nested models |
| par.avg | Parameter averaging |
| pdredge | Automated model selection using parallel computation |
| plot.model.selection | Visualize model selection table |
| predict.averaging | Predict method for averaged models |
| QAIC | Quasi AIC or AICc |
| QIC | QIC and quasi-Likelihood for GEE |
| r.squaredGLMM | Pseudo-R-squared for Generalized Mixed-Effect models |
| r.squaredLR | Likelihood-ratio based pseudo-R-squared |
| stackingWeights | Stacking model weights |
| std.coef | Standardized model coefficients |
| stdize | Standardize data |
| subset.model.selection | Subsetting model selection table |
| sumofweights | Per-variable sum of model weights |
| supported-classes | List of supported models |
| updateable | Make a function return updateable result |
| Weights | Akaike weights |
