all_models_equal        Checks if all objects are models of same class
apply_table_theme       Data frame and Tables Pretty Formatting
check_if_installed      Checking if needed package is installed
clean_names             Get clean names of model terms
clean_parameters        Get clean names of model parameters
color_if                Color-formatting for data columns based on
                        condition
compact_character       Remove empty strings from character
compact_list            Remove empty elements from lists
display                 Generic export of data frames into formatted
                        tables
download_model          Download circus models
ellipsis_info           Gather information about objects in ellipsis
                        (dot dot dot)
find_algorithm          Find sampling algorithm and optimizers
find_formula            Find model formula
find_interactions       Find interaction terms from models
find_offset             Find possible offset terms in a model
find_parameters         Find names of model parameters
find_parameters.BGGM    Find names of model parameters from Bayesian
                        models
find_parameters.averaging
                        Find model parameters from models with special
                        components
find_parameters.betamfx
                        Find names of model parameters from marginal
                        effects models
find_parameters.emmGrid
                        Find model parameters from estimated marginal
                        means objects
find_parameters.gamlss
                        Find names of model parameters from generalized
                        additive models
find_parameters.glmmTMB
                        Find names of model parameters from mixed
                        models
find_parameters.zeroinfl
                        Find names of model parameters from
                        zero-inflated models
find_predictors         Find names of model predictors
find_random             Find names of random effects
find_random_slopes      Find names of random slopes
find_response           Find name of the response variable
find_smooth             Find smooth terms from a model object
find_statistic          Find statistic for model
find_terms              Find all model terms
find_transformation     Find possible transformation of model variables
find_variables          Find names of all variables
find_weights            Find names of model weights
fish                    Sample data set
format_bf               Bayes Factor formatting
format_capitalize       Capitalizes the first letter in a string
format_ci               Confidence/Credible Interval (CI) Formatting
format_message          Format messages and warnings
format_number           Convert number to words
format_p                p-values formatting
format_pd               Probability of direction (pd) formatting
format_rope             Percentage in ROPE formatting
format_string           String Values Formatting
format_table            Parameter table formatting
format_value            Numeric Values Formatting
get_auxiliary           Get auxiliary parameters from models
get_call                Get the model's function call
get_data                Get the data that was used to fit the model
get_datagrid            Create a reference grid
get_datagrid.emmGrid    Extract a reference grid from objects created
                        by '{emmeans}' and '{marginaleffects}'
get_deviance            Model Deviance
get_df                  Extract degrees of freedom
get_family              A robust alternative to stats::family
get_intercept           Get the value at the intercept
get_loglikelihood       Log-Likelihood and Log-Likelihood correction
get_modelmatrix         Model Matrix
get_parameters          Get model parameters
get_parameters.BGGM     Get model parameters from Bayesian models
get_parameters.betamfx
                        Get model parameters from marginal effects
                        models
get_parameters.betareg
                        Get model parameters from models with special
                        components
get_parameters.emmGrid
                        Get model parameters from estimated marginal
                        means objects
get_parameters.gamm     Get model parameters from generalized additive
                        models
get_parameters.glmmTMB
                        Get model parameters from mixed models
get_parameters.htest    Get model parameters from htest-objects
get_parameters.zeroinfl
                        Get model parameters from zero-inflated and
                        hurdle models
get_predicted           Model predictions (robust) and their confidence
                        intervals
get_predicted_ci        Confidence intervals around predicted values
get_predictors          Get the data from model predictors
get_priors              Get summary of priors used for a model
get_random              Get the data from random effects
get_residuals           Extract model residuals
get_response            Get the values from the response variable
get_sigma               Get residual standard deviation from models
get_statistic           Get statistic associated with estimates
get_transformation      Return function of transformed response
                        variables
get_varcov              Get variance-covariance matrix from models
get_variance            Get variance components from random effects
                        models
get_weights             Get the values from model weights
has_intercept           Checks if model has an intercept
is_converged            Convergence test for mixed effects models
is_empty_object         Check if object is empty
is_gam_model            Checks if a model is a generalized additive
                        model
is_mixed_model          Checks if a model is a mixed effects model
is_model                Checks if an object is a regression model or
                        statistical test object
is_model_supported      Checks if a regression model object is
                        supported by the insight package
is_multivariate         Checks if an object stems from a multivariate
                        response model
is_nested_models        Checks whether a list of models are nested
                        models
is_nullmodel            Checks if model is a null-model
                        (intercept-only)
link_function           Get link-function from model object
link_inverse            Get link-inverse function from model object
model_info              Access information from model objects
model_name              Name the model
n_grouplevels           Count number of random effect levels in a mixed
                        model
n_obs                   Get number of observations from a model
n_parameters            Count number of parameters in a model
null_model              Compute intercept-only model for regression
                        models
object_has_names        Check names and rownames
print_color             Coloured console output
print_parameters        Prepare summary statistics of model parameters
                        for printing
standardize_column_order
                        Standardize column order
standardize_names       Standardize column names
text_remove_backticks   Remove backticks from a string
trim_ws                 Small helper functions
validate_argument       Validate arguments against a given set of
                        options
