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How to do backward stepwise selection in glmer?
The model-selection routine starts with the most complex fixed-effects structure possible given the specified combination of explanatory variables and their interactions, and performs backward stepwise selection to obtain the minimum adequate model. Comparison of the fit of different models is based on likelihood-ratio tests.
How to select fixed effect variable in glmerselect?
The fixed-effect continuous variables to consider in the model, specified as a list where the item names correspond to the column names in modelData and the values are integers specifying the maximum complexity of the polynomial term to fit for the variable
How to perform backward stepwise selection of fixed effects?
Performs backward stepwise selection of fixed effects in a generalized linear mixed-effects model. Tests interaction terms first, and then drops them to test main effects. Main effects that are part of interaction terms will be retained, regardless of their significance as main effects
How to do stepwise model with random effect ( lme4 )?
The lmerTest package said it works with lme4, but I can only get it to work if I remove one of my independent variables from the model (which is a factor with two options (TM)) Error in $<- ( *tmp*, formula, value = Terms) : no method for assigning subsets of this S4 class
How to validate model selection in glmer-cross?
If you insist on a model-selection strategy, then you should validate your model-building approach by repeating all steps including the predictor-selection steps on multiple bootstrap samples from your data, and testing performance of each bootstrap-derived model on the full data set. Thanks for contributing an answer to Cross Validated!
Which is the fixed structure in glmerselect?
The specified random-effects structures is fixed. The model-selection routine starts with the most complex fixed-effects structure possible given the specified combination of explanatory variables and their interactions, and performs backward stepwise selection to obtain the minimum adequate model.
What are the main effects in glmerselect?
Main effects that are part of interaction terms will be retained, regardless of their significance as main effects A data frame containing the response variable, all fixed effects to be considered, and all terms in the specified random-effects structure