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