## Comprehensive Information from Model Objects

model_info()

Access information from model objects

## Find Information from Model Objects

Functions to access names or information from model objects. These functions have no get_*()-counterpart.

find_algorithm()

Find sampling algorithm and optimizers

find_formula()

Find model formula

find_interactions()

Find interaction terms from models

find_random_slopes()

Find names of random slopes

find_terms()

Find all model terms

find_variables()

Find names of all variables

## Get Data from Model Objects

Functions to get values or data from model objects. These functions have no find_*()-counterpart.

get_data()

Get the data that was used to fit the model

get_priors()

Get summary of priors used for a model

get_variance() get_variance_residual() get_variance_fixed() get_variance_random() get_variance_distribution() get_variance_dispersion() get_variance_intercept() get_variance_slope() get_correlation_slope_intercept()

Get variance components from random effects models

get_varcov()

Get variance-covariance matrix from models

## Find Information or Get Data from Model Objects

Functions to list model-specific objects or to extract values (or data) associated with model-specific objects.

find_parameters() get_parameters(<bayesx>)

Find names of model parameters

get_parameters()

Get model parameters

find_predictors()

Find names of model predictors

get_predictors()

Get the data from model predictors

find_random()

Find names of random effects

get_random()

Get the data from random effects

find_response()

Find name of the response variable

get_response()

Get the values from the response variable

find_statistic()

Find statistic for model

get_statistic()

Get statistic associated with estimates

find_weights()

Find names of model weights

get_weights()

Get the values from model weights

## Access Further Information from Model Objects

Functions to access specific information from model objects.

link_function()

link_inverse()

Get link-inverse function from model object

n_obs()

Get number of observations from a model

## Test Model Properties

Functions to test specific properties of model objects.

all_models_equal() all_models_same_class()

Checks if all objects are models of same class

has_intercept()

Checks if model has an intercept

is_model()

Checks if an object is a regression model object

is_model_supported() supported_models()

Checks if an object is a regression model object supported in insight package.

is_multivariate()

Checks if an object stems from a multivariate response model

is_nullmodel()

Checks if model is a null-model (intercept-only)

## Utilities

Functions that are not specifically related to access model information, but rather small utility functions (mostly for printing)

clean_names()

Get clean names of model terms

clean_parameters()

Get clean names of model parameters

color_if() colour_if()

Color-formatting for data columns based on condition

download_model()

format_table()

Dataframe and Tables Pretty Formatting

format_value()

Numeric Values Formatting

print_color() print_colour()

Coloured console output

print_parameters()

Prepare summary statistics of model parameters for printing