expr_beta_arg 1L ) stop ( "\"R^2\" in 'extra' can be used only with no 'varying'" ) # a cumbersome way of evaluating a non-exported function in a parent frame: extra novMax ) cry (, "number of non-fixed predictors exceeds the allowed maximum of %. # code snippet to handle argument 'beta'. Predictions on the response scale from generalized models can be calculated by averaging predictions of each model on the link scale, followed by inverse transformation (this is achieved with type 'link' and. updateable: Make a function return updateable result Predictions from component models with standard errors are passed to par.avg and averaged in the same way as the coefficients are.supported-classes: List of supported models.sumofweights: Per-variable sum of model weights.std.coef: Standardized model coefficients.stackingWeights: Stacking model weights.r.squaredLR: Likelihood-ratio based pseudo-R-squared.r.squaredGLMM: Pseudo-R-squared for Generalized Mixed-Effect models.predict.averaging: Predict method for averaged models.pdredge: Automated model selection using parallel computation.: Description of Model Selection Objects.manip-formula: Manipulate model formulas.jackknifeWeights: Jackknifed model weights.get.models: Retrieve models from selection table.exprApply: Apply a function to calls inside an expression.
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