insight

Checks if all objects are models of same class

Checking if needed package is installed

Get clean names of model terms

Get clean names of model parameters

Color-formatting for data columns based on condition

Generic export of data frames into formatted tables

Detect coloured cells

Download circus models

Gather information about objects in ellipsis (dot dot dot)

Data frame and Tables Pretty Formatting

Find sampling algorithm and optimizers

Find model formula

Find interaction terms from models

Find possible offset terms in a model

Find names of model parameters

Find names of model parameters from Bayesian models

Find model parameters from models with special components

Find names of model parameters from marginal effects models

Find model parameters from estimated marginal means objects

Find names of model parameters from generalized additive models

Find names of model parameters from mixed models

Find names of model parameters from zero-inflated models

Find names of model predictors

Find names of random effects

Find names of random slopes

Find name of the response variable

Find smooth terms from a model object

Find statistic for model

Find all model terms

Find names of all variables

Find names of model weights

Sample data set

Bayes Factor formatting

Confidence/Credible Interval (CI) Formatting

Format messages and warnings

Convert number to words

p-values formatting

Probability of direction (pd) formatting

Percentage in ROPE formatting

String Values Formatting

Parameter table formatting

Numeric Values Formatting

Get auxiliary parameters from models

Get the model's function call

Get the data that was used to fit the model

Model Deviance

Extract degrees of freedom

A robust alternative to stats::family

Get the value at the intercept

Log-Likelihood

Model Matrix

Get model parameters

Get model parameters from Bayesian models

Get model parameters from marginal effects models

Get model parameters from models with special components

Get model parameters from estimated marginal means objects

Get model parameters from generalized additive models

Get model parameters from mixed models

Get model parameters from htest-objects

Get model parameters from zero-inflated and hurdle models

Compute Model's Predictions

Confidence and Prediction Interval for Model Predictions

Get the data from model predictors

Get summary of priors used for a model

Get the data from random effects

Extract model residuals

Get the values from the response variable

Get residual standard deviation from models

Get statistic associated with estimates

Get variance-covariance matrix from models

Get variance components from random effects models

Get the values from model weights

Checks if model has an intercept

Checks if a model is a generalized additive model

Checks if a model is a mixed effects model

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

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

Checks if an object stems from a multivariate response model

Checks whether a list of models are nested models

Checks if model is a null-model (intercept-only)

Get link-function from model object

Get link-inverse function from model object

Access information from model objects

Name the model

Get number of observations from a model

Count number of parameters in a model

Compute intercept-only model for regression models

Coloured console output

Prepare summary statistics of model parameters for printing

Reshape CI between wide/long formats

Standardize column names