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Automated interpretation of standardized slopes.
interpret_parameters(model, ...)# S3 method for lm interpret_parameters( model, parameters = NULL, interpretation = "funder2019", standardize_method = "refit", standardize_robust = FALSE, ... )
# S3 method for lm interpret_parameters( model, parameters = NULL, interpretation = "funder2019", standardize_method = "refit", standardize_robust = FALSE, ... )
A statistical model.
For standardize_parameters(), arguments passed to parameters::model_parameters, such as:
standardize_parameters()
ci_method, centrality for Bayesian models...
ci_method
centrality
df_method for Mixed models ...
df_method
exponentiate, ...
exponentiate
etc.
A custom parameters table. If NULL, will use standardize_parameters() to get it.
NULL
Interpretation grid (i.e., the set of rules of thumb) used to interpret the effects.
See standardize_parameters().
# NOT RUN { model <- lm(Sepal.Length ~ Species * Petal.Width, data = iris) interpret_parameters(model) # }
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