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"version": "1.4.1", "date": "2025-08-29" }, { "version": "1.4.2", "date": "2025-09-02" }, { "version": "1.4.3", "date": "2025-11-24" }, { "version": "1.4.4", "date": "2025-12-11" }, { "version": "1.4.5", "date": "2026-01-26" }, { "version": "1.4.6", "date": "2026-02-04" }, { "version": "1.5.0", "date": "2026-04-14" }, { "version": "1.5.1", "date": "2026-05-21" } ], "_exports": [ "all_models_equal", "all_models_same_class", "broom_columns", "check_if_installed", "clean_names", "clean_parameters", "color_if", "color_text", "color_theme", "colour_if", "colour_text", "compact_character", "compact_list", "display", "download_model", "easystats_columns", "ellipsis_info", "export_table", "find_algorithm", "find_auxiliary", "find_formula", "find_interactions", "find_offset", "find_parameters", "find_predictors", "find_random", "find_random_slopes", "find_response", "find_smooth", "find_statistic", "find_terms", "find_transformation", "find_variables", "find_weights", "format_alert", "format_bf", "format_capitalize", "format_ci", "format_error", "format_message", "format_number", "format_p", "format_pd", "format_percent", "format_rope", "format_string", "format_table", "format_value", "format_warning", "formula_ok", "get_auxiliary", "get_call", "get_correlation_slope_intercept", "get_correlation_slopes", "get_data", "get_datagrid", "get_deviance", "get_df", "get_dispersion", "get_family", "get_intercept", "get_loglikelihood", "get_loglikelihood_adjustment", "get_mixed_info", "get_model", "get_modelmatrix", "get_parameters", "get_predicted", "get_predicted_ci", "get_predictors", "get_priors", "get_random", "get_residuals", "get_response", "get_sigma", "get_simulated", "get_statistic", "get_transformation", "get_varcov", "get_variance", "get_variance_dispersion", "get_variance_distribution", "get_variance_fixed", "get_variance_intercept", "get_variance_random", "get_variance_residual", "get_variance_slope", "get_weights", "has_intercept", "has_single_value", "is_bayesian_model", "is_converged", "is_empty_object", "is_gam_model", "is_mixed_model", "is_model", "is_model_supported", "is_multivariate", "is_nested_models", "is_nullmodel", "is_regression_model", "link_function", "link_inverse", "loglikelihood", "model_info", "model_name", "n_grouplevels", "n_obs", "n_parameters", "n_unique", "null_model", "object_has_names", "object_has_rownames", "print_color", "print_colour", "print_html", "print_md", "print_parameters", "safe_deparse", "safe_deparse_symbol", "standardize_column_order", "standardize_names", "supported_models", "text_remove_backticks", "trim_ws", "validate_argument", "vcovFPC" ], "_datasets": [ { "name": "efc_insight", "title": "Sample dataset from the EFC Survey", "object": "efc_insight", "file": "efc_insight.rda", "class": [ "data.frame" ], "fields": [ "c12hour", "e15relat", "e16sex", "e17age", "e42dep", "c82cop1", "c83cop2", "c84cop3", "c85cop4", "c86cop5", "c87cop6", "c88cop7", "c89cop8", "c90cop9", "c160age", "c161sex", "c172code", "c175empl", "barthtot", "neg_c_7", "pos_v_4", "quol_5", "resttotn", "tot_sc_e", "n4pstu", "nur_pst", "grp", "negc7d" ], "rows": 908, "table": true, "tojson": true }, { "name": "fish", "title": "Sample data set for count models", "object": "fish", "file": "fish.RData", "class": [ "data.frame" ], "fields": [ "nofish", "livebait", "camper", "persons", "child", "xb", "zg", "count", "ID" ], "rows": 250, "table": true, "tojson": true } ], "_help": [ { "page": "all_models_equal", "title": "Checks if all objects are models of same class", "topics": [ "all_models_equal", "all_models_same_class" ] }, { "page": "check_if_installed", "title": "Checking if needed package is installed", "topics": [ "check_if_installed" ] }, { "page": "clean_names", "title": "Get clean names of model terms", "topics": [ "clean_names", "clean_names.character" ] }, { "page": "clean_parameters", "title": "Get clean names of model parameters", "topics": [ "clean_parameters" ] }, { "page": "color_if", "title": "Color-formatting for data columns based on condition", "topics": [ "color_if", "colour_if" ] }, { "page": "compact_character", "title": "Remove empty strings from character", "topics": [ "compact_character" ] }, { "page": "compact_list", "title": "Remove empty elements from lists", "topics": [ "compact_list" ] }, { "page": "display", "title": "Generic export of data frames into formatted tables", "topics": [ "display", "display.data.frame", "print_html", "print_html.data.frame", "print_md", "print_md.data.frame" ] }, { "page": "download_model", "title": "Download circus models", "topics": [ "download_model" ] }, { "page": "easystats_columns", "title": "Easystats columns", "topics": [ "broom_columns", "easystats_columns" ] }, { "page": "efc_insight", "title": "Sample dataset from the EFC Survey", "topics": [ "efc_insight" ] }, { "page": "ellipsis_info", "title": "Gather information about objects in ellipsis (dot dot dot)", "topics": [ "ellipsis_info", "ellipsis_info.default" ] }, { "page": "export_table", "title": "Data frame and Tables Pretty Formatting", "topics": [ "export_table" ] }, { "page": "find_algorithm", "title": "Find sampling algorithm and optimizers", "topics": [ "find_algorithm" ] }, { "page": "find_auxiliary", "title": "Find auxiliary (distributional) parameters from models", "topics": [ "find_auxiliary", "find_auxiliary.default" ] }, { "page": "find_formula", "title": "Find model formula", "topics": [ "find_formula", "find_formula.default", "find_formula.nestedLogit", "formula_ok" ] }, { "page": "find_interactions", "title": "Find interaction terms from models", "topics": [ "find_interactions" ] }, { "page": "find_offset", "title": "Find possible offset terms in a model", "topics": [ "find_offset" ] }, { "page": "find_parameters", "title": "Find names of model parameters", "topics": [ "find_parameters", "find_parameters.default" ] }, { "page": "find_parameters.averaging", "title": "Find model parameters from models with special components", "topics": [ "find_parameters.averaging" ] }, { "page": "find_parameters.betamfx", "title": "Find names of model parameters from marginal effects models", "topics": [ "find_parameters.betamfx" ] }, { "page": "find_parameters.BGGM", "title": "Find names of model parameters from Bayesian models", "topics": [ "find_parameters.BGGM", "find_parameters.brmsfit" ] }, { "page": "find_parameters.emmGrid", "title": "Find model parameters from estimated marginal means objects", "topics": [ "find_parameters.emmGrid" ] }, { "page": "find_parameters.gamlss", "title": "Find names of model parameters from generalized additive models", "topics": [ "find_parameters.gam", "find_parameters.gamlss" ] }, { "page": "find_parameters.glmmTMB", "title": "Find names of model parameters from mixed models", "topics": [ "find_parameters.glmmTMB" ] }, { "page": "find_parameters.zeroinfl", "title": "Find names of model parameters from zero-inflated models", "topics": [ "find_parameters.zeroinfl" ] }, { "page": "find_predictors", "title": "Find names of model predictors", "topics": [ "find_predictors", "find_predictors.default" ] }, { "page": "find_random", "title": "Find names of random effects", "topics": [ "find_random" ] }, { "page": "find_random_slopes", "title": "Find names of random slopes", "topics": [ "find_random_slopes" ] }, { "page": "find_response", "title": "Find name of the response variable", "topics": [ "find_response", "find_response.joint" ] }, { "page": "find_smooth", "title": "Find smooth terms from a model object", "topics": [ "find_smooth" ] }, { "page": "find_statistic", "title": "Find statistic for model", "topics": [ "find_statistic" ] }, { "page": "find_terms", "title": "Find all model terms", "topics": [ "find_terms", "find_terms.default" ] }, { "page": "find_transformation", "title": "Find possible transformation of model variables", "topics": [ "find_transformation", "find_transformation.default" ] }, { "page": "find_variables", "title": "Find names of all variables", "topics": [ "find_variables" ] }, { "page": "find_weights", "title": "Find names of model weights", "topics": [ "find_weights" ] }, { "page": "fish", "title": "Sample data set for count models", "topics": [ "fish" ] }, { "page": "format_bf", "title": "Bayes Factor formatting", "topics": [ "format_bf" ] }, { "page": "format_capitalize", "title": "Capitalizes the first letter in a string", "topics": [ "format_capitalize" ] }, { "page": "format_ci", "title": "Confidence/Credible Interval (CI) Formatting", "topics": [ "format_ci", "format_ci.numeric" ] }, { "page": "format_message", "title": "Format messages and warnings", "topics": [ "format_alert", "format_error", "format_message", "format_warning" ] }, { "page": "format_number", "title": "Convert number to words", "topics": [ "format_number" ] }, { "page": "format_p", "title": "p-values formatting", "topics": [ "format_p" ] }, { "page": "format_pd", "title": "Probability of direction (pd) formatting", "topics": [ "format_pd" ] }, { "page": "format_rope", "title": "Percentage in ROPE formatting", "topics": [ "format_rope" ] }, { "page": "format_string", "title": "String Values Formatting", "topics": [ "format_string", "format_string.character" ] }, { "page": "format_table", "title": "Parameter table formatting", "topics": [ "format_table" ] }, { "page": "format_value", "title": "Numeric Values Formatting", "topics": [ "format_percent", "format_value", "format_value.data.frame", "format_value.numeric" ] }, { "page": "get_auxiliary", "title": "Get auxiliary parameters from models", "topics": [ "get_auxiliary", "get_dispersion", "get_dispersion.default" ] }, { "page": "get_call", "title": "Get the model's function call", "topics": [ "get_call" ] }, { "page": "get_data", "title": "Get the data that was used to fit the model", "topics": [ "get_data", "get_data.afex_aov", "get_data.default", "get_data.glmmTMB", "get_data.rma" ] }, { "page": "get_datagrid", "title": "Create a reference grid", "topics": [ "get_datagrid", "get_datagrid.data.frame", "get_datagrid.default", "get_datagrid.factor", "get_datagrid.numeric" ] }, { "page": "get_datagrid.emmGrid", "title": "Extract a reference grid from objects created by '{emmeans}' and '{marginaleffects}'", "topics": [ "get_datagrid.emmGrid" ] }, { "page": "get_deviance", "title": "Model Deviance", "topics": [ "get_deviance", "get_deviance.default" ] }, { "page": "get_df", "title": "Extract degrees of freedom", "topics": [ "get_df", "get_df.default" ] }, { "page": "get_family", "title": "A robust alternative to stats::family", "topics": [ "get_family" ] }, { "page": "get_intercept", "title": "Get the value at the intercept", "topics": [ "get_intercept" ] }, { "page": "get_loglikelihood", "title": "Log-Likelihood and Log-Likelihood correction", "topics": [ "get_loglikelihood", "get_loglikelihood.lm", "get_loglikelihood_adjustment", "loglikelihood" ] }, { "page": "get_mixed_info", "title": "Extract various information from mixed models", "topics": [ "get_mixed_info", "get_mixed_info.default", "get_mixed_info.glmmTMB" ] }, { "page": "get_model", "title": "Get a model objects that is saved as attribute", "topics": [ "get_model" ] }, { "page": "get_modelmatrix", "title": "Model Matrix", "topics": [ "get_modelmatrix" ] }, { "page": "get_parameters", "title": "Get model parameters", "topics": [ "get_parameters", "get_parameters.default" ] }, { "page": "get_parameters.betamfx", "title": "Get model parameters from marginal effects models", "topics": [ "get_parameters.betamfx" ] }, { "page": "get_parameters.betareg", "title": "Get model parameters from models with special components", "topics": [ "get_parameters.betareg" ] }, { "page": "get_parameters.BGGM", "title": "Get model parameters from Bayesian models", "topics": [ "get_parameters.BFBayesFactor", "get_parameters.BGGM", "get_parameters.brmsfit" ] }, { "page": "get_parameters.emmGrid", "title": "Get model parameters from estimated marginal means objects", "topics": [ "get_parameters.emmGrid" ] }, { "page": "get_parameters.gamm", "title": "Get model parameters from generalized additive models", "topics": [ "get_parameters.gamm" ] }, { "page": "get_parameters.glmmTMB", "title": "Get model parameters from mixed models", "topics": [ "get_parameters.glmmTMB" ] }, { "page": "get_parameters.htest", "title": "Get model parameters from htest-objects", "topics": [ "get_parameters.htest" ] }, { "page": "get_parameters.zeroinfl", "title": "Get model parameters from zero-inflated and hurdle models", "topics": [ "get_parameters.zeroinfl" ] }, { "page": "get_predicted", "title": "Model predictions (robust) and their confidence intervals", "topics": [ "get_predicted", "get_predicted.default", "get_predicted.gam", "get_predicted.lm", "get_predicted.lmerMod", "get_predicted.nestedLogit", "get_predicted.principal", "get_predicted.stanreg" ] }, { "page": "get_predicted_ci", "title": "Confidence intervals around predicted values", "topics": [ "get_predicted_ci", "get_predicted_ci.default" ] }, { "page": "get_predictors", "title": "Get the data from model predictors", "topics": [ "get_predictors" ] }, { "page": "get_priors", "title": "Get summary of priors used for a model", "topics": [ "get_priors", "get_priors.brmsfit" ] }, { "page": "get_random", "title": "Get the data from random effects", "topics": [ "get_random" ] }, { "page": "get_residuals", "title": "Extract model residuals", "topics": [ "get_residuals", "get_residuals.default" ] }, { "page": "get_response", "title": "Get the values from the response variable", "topics": [ "get_response", "get_response.default", "get_response.nestedLogit" ] }, { "page": "get_sigma", "title": "Get residual standard deviation from models", "topics": [ "get_sigma" ] }, { "page": "get_simulated", "title": "Simulate values from fitted models", "topics": [ "get_simulated", "get_simulated.data.frame", "get_simulated.default", "get_simulated.glmmTMB", "get_simulated.lm", "get_simulated.merMod" ] }, { "page": "get_statistic", "title": "Get statistic associated with estimates", "topics": [ "get_statistic", "get_statistic.default", "get_statistic.emmGrid", "get_statistic.gam", "get_statistic.gee", "get_statistic.glmmTMB" ] }, { "page": "get_transformation", "title": "Return function of transformed response variables", "topics": [ "get_transformation" ] }, { "page": "get_varcov", "title": "Get variance-covariance matrix from models", "topics": [ "get_varcov", "get_varcov.aov", "get_varcov.default", "get_varcov.glmgee", "get_varcov.hurdle", "get_varcov.mixor" ] }, { "page": "get_variance", "title": "Get variance components from random effects models", "topics": [ "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" ] }, { "page": "get_weights", "title": "Get the values from model weights", "topics": [ "get_weights", "get_weights.default" ] }, { "page": "has_intercept", "title": "Checks if model has an intercept", "topics": [ "has_intercept" ] }, { "page": "is_bayesian_model", "title": "Checks if a model is a Bayesian model", "topics": [ "is_bayesian_model" ] }, { "page": "is_converged", "title": "Convergence test for mixed effects models", "topics": [ "is_converged", "is_converged.merMod" ] }, { "page": "is_empty_object", "title": "Check if object is empty", "topics": [ "is_empty_object" ] }, { "page": "is_gam_model", "title": "Checks if a model is a generalized additive model", "topics": [ "is_gam_model" ] }, { "page": "is_mixed_model", "title": "Checks if a model is a mixed effects model", "topics": [ "is_mixed_model" ] }, { "page": "is_model", "title": "Checks if an object is a regression model or statistical test object", "topics": [ "is_model", "is_regression_model" ] }, { "page": "is_model_supported", "title": "Checks if a regression model object is supported by the insight package", "topics": [ "is_model_supported", "supported_models" ] }, { "page": "is_multivariate", "title": "Checks if an object stems from a multivariate response model", "topics": [ "is_multivariate" ] }, { "page": "is_nested_models", "title": "Checks whether a list of models are nested models", "topics": [ "is_nested_models" ] }, { "page": "is_nullmodel", "title": "Checks if model is a null-model (intercept-only)", "topics": [ "is_nullmodel" ] }, { "page": "link_function", "title": "Get link-function from model object", "topics": [ "link_function", "link_function.betamfx", "link_function.betareg", "link_function.DirichletRegModel", "link_function.gamlss" ] }, { "page": "link_inverse", "title": "Get link-inverse function from model object", "topics": [ "link_inverse", "link_inverse.betamfx", "link_inverse.betareg", "link_inverse.DirichletRegModel", "link_inverse.gamlss" ] }, { "page": "model_info", "title": "Access information from model objects", "topics": [ "model_info", "model_info.brmsfit", "model_info.default" ] }, { "page": "model_name", "title": "Name the model", "topics": [ "model_name", "model_name.default" ] }, { "page": "n_grouplevels", "title": "Count number of random effect levels in a mixed model", "topics": [ "n_grouplevels" ] }, { "page": "n_obs", "title": "Get number of observations from a model", "topics": [ "n_obs", "n_obs.afex_aov", "n_obs.glm", "n_obs.stanmvreg", "n_obs.svyolr" ] }, { "page": "n_parameters", "title": "Count number of parameters in a model", "topics": [ "n_parameters", "n_parameters.default", "n_parameters.glmmTMB", "n_parameters.merMod" ] }, { "page": "null_model", "title": "Compute intercept-only model for regression models", "topics": [ "null_model", "null_model.default" ] }, { "page": "object_has_names", "title": "Check names and rownames", "topics": [ "object_has_names", "object_has_rownames" ] }, { "page": "print_color", "title": "Coloured console output", "topics": [ "color_text", "color_theme", "colour_text", "print_color", "print_colour" ] }, { "page": "print_parameters", "title": "Prepare summary statistics of model parameters for printing", "topics": [ "print_parameters" ] }, { "page": "standardize_column_order", "title": "Standardize column order", "topics": [ "standardize_column_order", "standardize_column_order.parameters_model" ] }, { "page": "standardize_names", "title": "Standardize column names", "topics": [ "standardize_names", "standardize_names.parameters_model" ] }, { "page": "text_remove_backticks", "title": "Remove backticks from a string", "topics": [ "text_remove_backticks", "text_remove_backticks.data.frame" ] }, { "page": "trim_ws", "title": "Small helper functions", "topics": [ "has_single_value", "n_unique", "n_unique.default", "safe_deparse", "safe_deparse_symbol", "trim_ws", "trim_ws.data.frame" ] }, { "page": "validate_argument", "title": "Validate arguments against a given set of options", "topics": [ "validate_argument" 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