Package index • broom.helpers

All-in-one function

tidy_plus_plus(): Tidy a model and compute additional informations

supported_models: Listing of Supported Models

Add to tidy tibbles

tidy_attach_model() tidy_and_attach() tidy_get_model() tidy_detach_model(): Attach a full model to the tibble of model terms

tidy_identify_variables(): Identify the variable corresponding to each model coefficient

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() experimental: 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_disambiguate_terms(): Disambiguate terms

tidy_remove_intercept(): Remove intercept(s)

tidy_select_variables(): Select variables to keep/drop

Custom tidiers

tidy_broom(): Tidy with broom::tidy() and checks that all arguments are used

tidy_parameters(): Tidy a model with parameters package

tidy_with_broom_or_parameters(): Tidy a model with broom or parameters

tidy_multgee() experimental: Tidy a multgee model

tidy_zeroinfl() experimental: Tidy a zeroinfl or a hurdle model

Tidiers for marginal predictions, contrasts, and effects

tidy_marginal_predictions() variables_to_predict() plot_marginal_predictions() experimental: Marginal Predictions with marginaleffects::avg_predictions()

tidy_all_effects() experimental: Marginal Predictions at the mean with effects::allEffects()

tidy_ggpredict() experimental: Marginal Predictions with ggeffects::ggpredict()

tidy_avg_comparisons() experimental: Marginal Contrasts with marginaleffects::avg_comparisons()

tidy_marginal_contrasts() variables_to_contrast() experimental: Marginal Contrasts with marginaleffects::avg_comparisons()

tidy_avg_slopes() experimental: Marginal Slopes / Effects with marginaleffects::avg_slopes()

tidy_margins() superseded: Average Marginal Effects with margins::margins()

tidy_marginal_means() deprecated: Marginal Means with marginaleffects::marginal_means()

Get information from model objects

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() model_get_terms(<cch>): 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

Variable type selectors

all_continuous() all_categorical() all_dichotomous() all_interaction() all_ran_pars() all_ran_vals() all_intercepts() all_contrasts(): Select helper functions

scope_tidy(): Scoping a tidy tibble allowing to tidy select

Exported utility functions

.assert_package() .get_package_dependencies() .get_all_packages_dependencies() .get_min_version_required(): Check a package installation status or minimum required version

.clean_backticks(): Remove backticks around variable names

.escape_regex(): Escapes any characters that would have special meaning in a regular expression

seq_range(): Sequence generation between min and max