Comprehensive Information from Model Objects

model_info()

Access information from model objects

Find Information from Model Objects

Functions to access names or information from model objects. These functions have no get_*()-counterpart.

find_algorithm()

Find sampling algorithm and optimizers

find_formula() formula_ok()

Find model formula

find_interactions()

Find interaction terms from models

find_offset()

Find possible offset terms in a model

find_random_slopes()

Find names of random slopes

find_smooth()

Find smooth terms from a model object

find_terms()

Find all model terms

find_variables()

Find names of all variables

Get Data from Model Objects

Functions to get values or data from model objects. These functions have no find_*()-counterpart.

get_auxiliary()

Get auxiliary parameters from models

get_data()

Get the data that was used to fit the model

get_df()

Extract degrees of freedom

get_intercept()

Get the value at the intercept

get_loglikelihood() loglikelihood()

Log-Likelihood

get_modelmatrix()

Model Matrix

get_predicted()

Model Predictions (robust)

get_predicted_ci()

Confidence and Prediction Interval for Model Predictions

get_priors()

Get summary of priors used for a model

get_residuals()

Extract model residuals

get_sigma()

Get residual standard deviation from models

get_variance() get_variance_residual() get_variance_fixed() get_variance_random() get_variance_distribution() get_variance_dispersion() get_variance_intercept() get_variance_slope() get_correlation_slope_intercept()

Get variance components from random effects models

get_varcov()

Get variance-covariance matrix from models

get_deviance()

Model Deviance

get_family()

A robust alternative to stats::family

Find Information or Get Data from Model Objects

Functions to list model-specific objects or to extract values (or data) associated with model-specific objects.

find_parameters()

Find names of model parameters

get_parameters()

Get model parameters

find_predictors()

Find names of model predictors

get_predictors()

Get the data from model predictors

find_random()

Find names of random effects

get_random()

Get the data from random effects

find_response()

Find name of the response variable

get_response()

Get the values from the response variable

find_statistic()

Find statistic for model

get_statistic()

Get statistic associated with estimates

find_weights()

Find names of model weights

get_weights()

Get the values from model weights

Access Further Information from Model Objects

Functions to access specific information from model objects.

get_call()

Get the model's function call

link_function()

Get link-function from model object

link_inverse()

Get link-inverse function from model object

model_name()

Name the model

n_obs()

Get number of observations from a model

n_parameters()

Count number of parameters in a model

Test Model Properties

Functions to test specific properties of model objects.

all_models_equal() all_models_same_class()

Checks if all objects are models of same class

has_intercept()

Checks if model has an intercept

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() is_regression_model()

Checks if an object is a regression model or statistical test object

is_model_supported() supported_models()

Checks if an object is a regression model object supported in insight package.

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)

Value Formatting

Functions for formatting (summary) output for printing

color_if() colour_if()

Color-formatting for data columns based on condition

format_bf()

Bayes Factor formatting

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_value()

Numeric Values Formatting

format_table() parameters_table()

Parameter table formatting

print_color() print_colour() color_text() colour_text() color_theme()

Coloured console output

Utilities

Functions that are not specifically related to access model information, but rather small utility functions (mostly for printing)

clean_names()

Get clean names of model terms

clean_parameters()

Get clean names of model parameters

display() print_md() print_html()

Generic export of data frames into formatted tables

download_model()

Download circus models

ellipsis_info()

Gather information about objects in ellipsis (dot dot dot)

export_table()

Data frame and Tables Pretty Formatting

null_model()

Compute intercept-only model for regression models

print_parameters()

Prepare summary statistics of model parameters for printing

standardize_names()

Standardize column names

check_if_installed()

Checking if needed package is installed

Data management

Utility functions (mostly for managing or preparing data)

data_to_long() data_to_wide() reshape_longer() reshape_wider()

Reshape (pivot) data from wide to long

data_match()

Find rows of a data frame that are matching a specific subset

data_relocate()

Relocate (reorder) columns of a data frame

data_restoretype()

Restore the type of columns according to a reference data frame

to_numeric()

Convert to Numeric (if possible)

reshape_ci()

Reshape CI between wide/long formats

Example Datasets

Used in examples or for testing

fish

Sample data set

Documentation of Specific Class Objects

find_parameters(<BGGM>) find_parameters(<BFBayesFactor>) find_parameters(<MCMCglmm>) find_parameters(<bamlss>) find_parameters(<brmsfit>) find_parameters(<bayesx>) find_parameters(<stanreg>) find_parameters(<sim.merMod>)

Find names of model parameters from Bayesian models

find_parameters(<emmGrid>)

Find model parameters from estimated marginal means objects

find_parameters(<gamlss>) find_parameters(<gam>)

Find names of model parameters from generalized additive models

find_parameters(<betamfx>) find_parameters(<logitmfx>)

Find names of model parameters from marginal effects models

find_parameters(<glmmTMB>) find_parameters(<merMod>)

Find names of model parameters from mixed models

find_parameters(<zeroinfl>) find_parameters(<mhurdle>)

Find names of model parameters from zero-inflated models

find_parameters(<averaging>) find_parameters(<betareg>) find_parameters(<DirichletRegModel>) find_parameters(<mjoint>) find_parameters(<glmx>)

Find model parameters from models with special components

get_parameters(<BGGM>) get_parameters(<MCMCglmm>) get_parameters(<BFBayesFactor>) get_parameters(<stanmvreg>) get_parameters(<brmsfit>) get_parameters(<stanreg>) get_parameters(<bayesx>) get_parameters(<bamlss>) get_parameters(<sim.merMod>) get_parameters(<sim>)

Get model parameters from Bayesian models

get_parameters(<emmGrid>) get_parameters(<emm_list>)

Get model parameters from estimated marginal means objects

get_parameters(<gamm>) get_parameters(<gam>) get_parameters(<rqss>)

Get model parameters from generalized additive models

get_parameters(<betamfx>) get_parameters(<logitmfx>)

Get model parameters from marginal effects models

get_parameters(<glmm>) get_parameters(<coxme>) get_parameters(<merMod>) get_parameters(<glmmTMB>) get_parameters(<glimML>)

Get model parameters from mixed models

get_parameters(<zeroinfl>) get_parameters(<zcpglm>) get_parameters(<mhurdle>)

Get model parameters from zero-inflated and hurdle models

get_parameters(<betareg>) get_parameters(<DirichletRegModel>) get_parameters(<averaging>) get_parameters(<glmx>) get_parameters(<clm2>) get_parameters(<mvord>) get_parameters(<mjoint>)

Get model parameters from models with special components

get_parameters(<htest>)

Get model parameters from htest-objects