jtools: model_utils – R documentation

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model_utils

Utility functions for generating model predictions

These functions get information and data from regression models.

get_offset_name(model)

get_weights(model, data)

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

get_response_name(model, ...)

`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()`

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

Analysis and Presentation of Social Scientific Data

v2.1.3

MIT + file LICENSE

Authors

Jacob A. Long [aut, cre] (<https://orcid.org/0000-0002-1582-6214>)

Initial release