Adding support for new model classes"
In insight: Easy Access to Model Information for Various Model Objects

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  warning = FALSE,
  message = FALSE
)

Adding (almost) full support to the easystats ecosystem

To add support for models in the easystats ecosystem, especially for the packages parameters, or to support most / all features from easystats, following methods should be added to the insight package:

insight::find_formula()
insight::model_info()
insight::get_parameters()
insight::get_statistic()
insight::find_statistic()
insight::get_varcov()
insight::get_df()

Nice to have (though some of the following functions could already work if the above methods are implemented):

insight::find_parameters()
insight::get_modelmatrix()
insight::get_predicted()
insight::link_inverse() and insight::link_function()
insight::get_residuals()

Adding basic support

If the purpose is just "tidy" output, it is enough to add following methods to the parameters package:

parameters::ci()
parameters::p_value()
parameters::standard_error() or insight::get_varcov()

The simplest way is just adding a method for parameters::model_parameters(), however, than this model-class is not supported by all functions we offer in the easystats ecosystem.

See also https://easystats.github.io/effectsize/articles/effectsize_API.html