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Utility functions for generating model predictions

Source: R/make_new_data.R
model_utils.Rd

These functions get information and data from regression models.

Usage

get_offset_name(model)

get_weights(model, data)

get_data(model, formula = NULL, warn = TRUE, ...)

get_response_name(model, ...)

Arguments

model

The model (e.g., lm, glm, merMod, svyglm)

data

For get_weights(), the data used to fit the model.

formula

The formula for model, if desired. Otherwise get_formula() is called.

warn

For get_data(), should there be a warning when model.frame() won't work because of variable transformations? Default is TRUE but this may not be desired when get_data() is used inside of another function or used multiple times.

...

Arguments passed to get_formula()

Value

  • get_data(): The data used to fit the model.

  • get_response_name(): The name of the response variable.

  • get_offset_name(): The name of the offset variable.

  • get_weights(): A list with weights_name, the name of the weighting variable, and weights, the weights themselves (or all 1 when there are no weights).