.clean_backticks        Remove backticks around variable names
.escape_regex           Escapes any characters that would have special
                        meaning in a regular expression
.formula_list_to_named_list
                        Convert formula selector to a named list
.generic_selector       Generate a custom selector function
.select_to_varnames     Variable selector
assert_package          Check a package installation status or minimum
                        required version
model_compute_terms_contributions
                        Compute a matrix of terms contributions
model_get_assign        Get the assign attribute of model matrix of a
                        model
model_get_coefficients_type
                        Get coefficient type
model_get_contrasts     Get contrasts used in the model
model_get_model         Get the model from model objects
model_get_model_frame   Get the model frame of a model
model_get_model_matrix
                        Get the model matrix of a model
model_get_n             Get the number of observations
model_get_nlevels       Get the number of levels for each factor used
                        in 'xlevels'
model_get_offset        Get model offset
model_get_pairwise_contrasts
                        Get pairwise comparison of the levels of a
                        categorical variable
model_get_response      Get model response
model_get_response_variable
                        Get the name of the response variable
model_get_terms         Get the terms of a model
model_get_weights       Get sampling weights used by a model
model_get_xlevels       Get xlevels used in the model
model_identify_variables
                        Identify for each coefficient of a model the
                        corresponding variable
model_list_contrasts    List contrasts used by a model
model_list_higher_order_variables
                        List higher order variables of a model
model_list_terms_levels
                        List levels of categorical terms
model_list_variables    List all the variables used in a model
select_helpers          Select helper functions
seq_range               Sequence generation between min and max
supported_models        Listing of Supported Models
tidy_add_coefficients_type
                        Add coefficients type and label as attributes
tidy_add_contrasts      Add contrasts type for categorical variables
tidy_add_estimate_to_reference_rows
                        Add an estimate value to references rows for
                        categorical variables
tidy_add_header_rows    Add header rows variables with several terms
tidy_add_n              Add the (weighted) number of observations
tidy_add_pairwise_contrasts
                        Add pairwise contrasts for categorical
                        variables
tidy_add_reference_rows
                        Add references rows for categorical variables
tidy_add_term_labels    Add term labels
tidy_add_variable_labels
                        Add variable labels
tidy_all_effects        Marginal Predictions at the mean with
                        'effects::allEffects()'
tidy_attach_model       Attach a full model to the tibble of model
                        terms
tidy_avg_comparisons    Marginal Contrasts with
                        'marginaleffects::avg_comparisons()'
tidy_avg_slopes         Marginal Slopes / Effects with
                        'marginaleffects::avg_slopes()'
tidy_broom              Tidy with 'broom::tidy()' and checks that all
                        arguments are used
tidy_disambiguate_terms
                        Disambiguate terms
tidy_ggpredict          Marginal Predictions with
                        'ggeffects::ggpredict()'
tidy_identify_variables
                        Identify the variable corresponding to each
                        model coefficient
tidy_marginal_contrasts
                        Marginal Contrasts with
                        'marginaleffects::avg_comparisons()'
tidy_marginal_means     Marginal Means with
                        'marginaleffects::marginal_means()'
tidy_marginal_predictions
                        Marginal Predictions with
                        'marginaleffects::avg_predictions()'
tidy_margins            Average Marginal Effects with
                        'margins::margins()'
tidy_multgee            Tidy a 'multgee' model
tidy_parameters         Tidy a model with parameters package
tidy_plus_plus          Tidy a model and compute additional
                        informations
tidy_remove_intercept   Remove intercept(s)
tidy_select_variables   Select variables to keep/drop
tidy_with_broom_or_parameters
                        Tidy a model with broom or parameters
