Easy Access to Model Information for Various Model Objects


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Documentation for package ‘insight’ version 0.4.0

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all_models_equal Checks if all objects are models of same class
all_models_same_class Checks if all objects are models of same class
clean_names Get clean names of model terms
clean_parameters Get clean names of model parameters
download_model Download circus models
find_algorithm Find sampling algorithm and optimizers
find_formula Find model formula
find_interactions Find interaction terms from models
find_parameters Find names of model parameters
find_parameters.brmsfit Find names of model parameters
find_parameters.gam Find names of model parameters
find_parameters.hurdle Find names of model parameters
find_parameters.merMod Find names of model parameters
find_parameters.stanreg Find names of model parameters
find_parameters.zeroinfl Find names of model parameters
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_terms Find all model terms
find_variables Find names of all variables
find_weights Find names of model weights
get_correlation_slope_intercept Get variance components from random effects models
get_data Get the data that was used to fit the model
get_data.brmsfit Get the data that was used to fit the model
get_data.clmm Get the data that was used to fit the model
get_data.gee Get the data that was used to fit the model
get_data.glmmTMB Get the data that was used to fit the model
get_data.hurdle Get the data that was used to fit the model
get_data.lme Get the data that was used to fit the model
get_data.MCMCglmm Get the data that was used to fit the model
get_data.merMod Get the data that was used to fit the model
get_data.mixed Get the data that was used to fit the model
get_data.MixMod Get the data that was used to fit the model
get_data.rlmerMod Get the data that was used to fit the model
get_data.rqss Get the data that was used to fit the model
get_data.stanreg Get the data that was used to fit the model
get_parameters Get model parameters
get_parameters.aovlist Get model parameters
get_parameters.BBmm Get model parameters
get_parameters.BFBayesFactor Get model parameters
get_parameters.brmsfit Get model parameters
get_parameters.coxme Get model parameters
get_parameters.Gam Get model parameters
get_parameters.gam Get model parameters
get_parameters.gamm Get model parameters
get_parameters.glimML Get model parameters
get_parameters.glmmTMB Get model parameters
get_parameters.hurdle Get model parameters
get_parameters.lme Get model parameters
get_parameters.MCMCglmm Get model parameters
get_parameters.merMod Get model parameters
get_parameters.mixed Get model parameters
get_parameters.MixMod Get model parameters
get_parameters.rlmerMod Get model parameters
get_parameters.rqss Get model parameters
get_parameters.stanmvreg Get model parameters
get_parameters.stanreg Get model parameters
get_parameters.vgam Get model parameters
get_parameters.zeroinfl Get model parameters
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_response Get the values from the response variable
get_variance Get variance components from random effects models
get_variance_dispersion Get variance components from random effects models
get_variance_distribution Get variance components from random effects models
get_variance_fixed Get variance components from random effects models
get_variance_intercept Get variance components from random effects models
get_variance_random Get variance components from random effects models
get_variance_residual Get variance components from random effects models
get_variance_slope Get variance components from random effects models
get_weights Get the values from model weights
has_intercept Checks if model has an intercept
is_model Checks if an object is a (supported) regression model object
is_multivariate Checks if an object stems from a multivariate response model
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
n_obs Get number of observations from a model
n_obs.stanmvreg Get number of observations from a model
n_obs.svyolr Get number of observations from a model
print_color Coloured console output
print_colour Coloured console output
print_parameters Prepare summary statistics of model paramters for printing