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 |
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_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 |
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_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_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_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 |
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