Man pages for insight
Easy Access to Model Information for Various Model Objects
| all_models_equal | Checks if all objects are models of same class |
| 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 |
| dot-colour_detect | Detect coloured cells |
| download_model | Download circus models |
| easystats_columns | Easystats columns |
| efc_insight | Sample dataset from the EFC Survey |
| ellipsis_info | Gather information about objects in ellipsis (dot dot dot) |
| export_table | Data frame and Tables Pretty Formatting |
| find_algorithm | Find sampling algorithm and optimizers |
| find_auxiliary | Find auxiliary (distributional) parameters from models |
| 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.averaging | Find model parameters from models with special components |
| find_parameters.betamfx | Find names of model parameters from marginal effects models |
| find_parameters.BGGM | Find names of model parameters from Bayesian models |
| find_parameters.emmGrid | Find model parameters from estimated marginal means objects |
| find_parameters.gamlss | Find names of model parameters from generalized additive... |
| 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 for count models |
| 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}'... |
| 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_mixed_info | Extract various information from mixed models |
| get_model | Get a model objects that is saved as attribute |
| get_modelmatrix | Model Matrix |
| get_parameters | Get model parameters |
| get_parameters.betamfx | Get model parameters from marginal effects models |
| get_parameters.betareg | Get model parameters from models with special components |
| get_parameters.BGGM | Get model parameters from Bayesian models |
| 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 |
| insight-package | insight: A Unified Interface to Access Information from Model... |
| is_bayesian_model | Checks if a model is a Bayesian model |
| 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... |
| is_model_supported | Checks if a regression model object is supported by the... |
| 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 |
