Helpers for Model Coefficients Tibbles
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Documentation for package ‘broom.helpers’ version 1.20.0
Help Pages
-- A --
| all_categorical | Select helper functions |
| all_continuous | Select helper functions |
| all_contrasts | Select helper functions |
| all_dichotomous | Select helper functions |
| all_interaction | Select helper functions |
| all_intercepts | Select helper functions |
| all_ran_pars | Select helper functions |
| all_ran_vals | Select helper functions |
| assert_package | Check a package installation status or minimum required version |
| auto_group_by | Group results by selected columns |
-- M --
| model_compute_terms_contributions | Compute a matrix of terms contributions |
| model_compute_terms_contributions.default | Compute a matrix of terms contributions |
| model_get_assign | Get the assign attribute of model matrix of a model |
| model_get_assign.default | Get the assign attribute of model matrix of a model |
| model_get_assign.model_fit | Get the assign attribute of model matrix of a model |
| model_get_assign.vglm | Get the assign attribute of model matrix of a model |
| model_get_coefficients_type | Get coefficient type |
| model_get_coefficients_type.biglm | Get coefficient type |
| model_get_coefficients_type.cch | Get coefficient type |
| model_get_coefficients_type.clm | Get coefficient type |
| model_get_coefficients_type.clmm | Get coefficient type |
| model_get_coefficients_type.clogit | Get coefficient type |
| model_get_coefficients_type.coxph | Get coefficient type |
| model_get_coefficients_type.crr | Get coefficient type |
| model_get_coefficients_type.default | Get coefficient type |
| model_get_coefficients_type.fixest | Get coefficient type |
| model_get_coefficients_type.geeglm | Get coefficient type |
| model_get_coefficients_type.glm | Get coefficient type |
| model_get_coefficients_type.glmerMod | Get coefficient type |
| model_get_coefficients_type.LORgee | Get coefficient type |
| model_get_coefficients_type.model_fit | Get coefficient type |
| model_get_coefficients_type.multinom | Get coefficient type |
| model_get_coefficients_type.negbin | Get coefficient type |
| model_get_coefficients_type.polr | Get coefficient type |
| model_get_coefficients_type.svyolr | Get coefficient type |
| model_get_coefficients_type.tidycrr | Get coefficient type |
| model_get_coefficients_type.vgam | Get coefficient type |
| model_get_coefficients_type.vglm | Get coefficient type |
| model_get_contrasts | Get contrasts used in the model |
| model_get_contrasts.betareg | Get contrasts used in the model |
| model_get_contrasts.hurdle | Get contrasts used in the model |
| model_get_contrasts.model_fit | Get contrasts used in the model |
| model_get_contrasts.zeroinfl | Get contrasts used in the model |
| model_get_model | Get the model from model objects |
| model_get_model.default | Get the model from model objects |
| model_get_model.mira | Get the model from model objects |
| model_get_model_frame | Get the model frame of a model |
| model_get_model_frame.biglm | Get the model frame of a model |
| model_get_model_frame.coxph | Get the model frame of a model |
| model_get_model_frame.default | Get the model frame of a model |
| model_get_model_frame.fixest | Get the model frame of a model |
| model_get_model_frame.model_fit | Get the model frame of a model |
| model_get_model_frame.survreg | Get the model frame of a model |
| model_get_model_frame.svycoxph | Get the model frame of a model |
| model_get_model_matrix | Get the model matrix of a model |
| model_get_model_matrix.betareg | Get the model matrix of a model |
| model_get_model_matrix.biglm | Get the model matrix of a model |
| model_get_model_matrix.brmsfit | Get the model matrix of a model |
| model_get_model_matrix.cch | Get the model matrix of a model |
| model_get_model_matrix.clm | Get the model matrix of a model |
| model_get_model_matrix.default | Get the model matrix of a model |
| model_get_model_matrix.fixest | Get the model matrix of a model |
| model_get_model_matrix.glmmTMB | Get the model matrix of a model |
| model_get_model_matrix.LORgee | Get the model matrix of a model |
| model_get_model_matrix.model_fit | Get the model matrix of a model |
| model_get_model_matrix.multinom | Get the model matrix of a model |
| model_get_model_matrix.plm | Get the model matrix of a model |
| model_get_model_matrix.vgam | Get the model matrix of a model |
| model_get_model_matrix.vglm | Get the model matrix of a model |
| model_get_n | Get the number of observations |
| model_get_n.coxph | Get the number of observations |
| model_get_n.default | Get the number of observations |
| model_get_n.glm | Get the number of observations |
| model_get_n.glmerMod | Get the number of observations |
| model_get_n.LORgee | Get the number of observations |
| model_get_n.model_fit | Get the number of observations |
| model_get_n.multinom | Get the number of observations |
| model_get_n.survreg | Get the number of observations |
| model_get_n.tidycrr | Get the number of observations |
| model_get_nlevels | Get the number of levels for each factor used in 'xlevels' |
| model_get_nlevels.default | Get the number of levels for each factor used in 'xlevels' |
| model_get_offset | Get model offset |
| model_get_offset.default | 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.default | Get model response |
| model_get_response.glm | Get model response |
| model_get_response.glmerMod | Get model response |
| model_get_response.model_fit | Get model response |
| model_get_response_variable | Get the name of the response variable |
| model_get_response_variable.default | Get the name of the response variable |
| model_get_terms | Get the terms of a model |
| model_get_terms.betareg | Get the terms of a model |
| model_get_terms.brmsfit | Get the terms of a model |
| model_get_terms.cch | Get the terms of a model |
| model_get_terms.default | Get the terms of a model |
| model_get_terms.fixest | Get the terms of a model |
| model_get_terms.glmmTMB | Get the terms of a model |
| model_get_terms.model_fit | Get the terms of a model |
| model_get_weights | Get sampling weights used by a model |
| model_get_weights.default | Get sampling weights used by a model |
| model_get_weights.model_fit | Get sampling weights used by a model |
| model_get_weights.svrepglm | Get sampling weights used by a model |
| model_get_weights.svyglm | Get sampling weights used by a model |
| model_get_xlevels | Get xlevels used in the model |
| model_get_xlevels.brmsfit | Get xlevels used in the model |
| model_get_xlevels.default | Get xlevels used in the model |
| model_get_xlevels.felm | Get xlevels used in the model |
| model_get_xlevels.glmerMod | Get xlevels used in the model |
| model_get_xlevels.glmmTMB | Get xlevels used in the model |
| model_get_xlevels.lmerMod | Get xlevels used in the model |
| model_get_xlevels.model_fit | Get xlevels used in the model |
| model_get_xlevels.plm | Get xlevels used in the model |
| model_identify_variables | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.aov | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.clm | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.clmm | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.default | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.gam | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.lavaan | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.logitr | Identify for each coefficient of a model the corresponding variable |
| model_identify_variables.model_fit | Identify for each coefficient of a model the corresponding variable |
| model_list_contrasts | List contrasts used by a model |
| model_list_contrasts.default | List contrasts used by a model |
| model_list_higher_order_variables | List higher order variables of a model |
| model_list_higher_order_variables.default | List higher order variables of a model |
| model_list_terms_levels | List levels of categorical terms |
| model_list_terms_levels.default | List levels of categorical terms |
| model_list_variables | List all the variables used in a model |
| model_list_variables.default | List all the variables used in a model |
| model_list_variables.lavaan | List all the variables used in a model |
| model_list_variables.logitr | List all the variables used in a model |
-- P --
| plot_marginal_predictions | Marginal Predictions with 'marginaleffects::avg_predictions()' |
-- S --
| scope_tidy | Scoping a tidy tibble allowing to tidy select |
| select_helpers | Select helper functions |
| seq_range | Sequence generation between min and max |
| supported_models | Listing of Supported Models |
-- T --
| 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_and_attach | Attach a full model to the tibble of model terms |
| 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_detach_model | Attach a full model to the tibble of model terms |
| tidy_disambiguate_terms | Disambiguate terms |
| tidy_get_model | Attach a full model to the tibble of model terms |
| tidy_ggpredict | Marginal Predictions with 'ggeffects::ggpredict()' |
| tidy_group_by | Group results by selected columns |
| 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 deprecated '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_vgam | Tidy a 'vglm' or a 'vgam' model |
| tidy_with_broom_or_parameters | Tidy a model with broom or parameters |
| tidy_zeroinfl | Tidy a 'zeroinfl' or a 'hurdle' model |
-- V --
| variables_to_contrast | Marginal Contrasts with 'marginaleffects::avg_comparisons()' |
| variables_to_predict | Marginal Predictions with 'marginaleffects::avg_predictions()' |
-- misc --
| .assert_package | 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 |
| .get_all_packages_dependencies | Check a package installation status or minimum required version |
| .get_min_version_required | Check a package installation status or minimum required version |
| .get_package_dependencies | Check a package installation status or minimum required version |