Reference

Comprehensive Summaries
check_model()	Visual check of model assumptions
model_performance() performance()	Model Performance
model_performance(<lm>)	Performance of Regression Models
model_performance(<merMod>)	Performance of Mixed Models
model_performance(<stanreg>) model_performance(<BFBayesFactor>)	Performance of Bayesian Models
model_performance(<lavaan>)	Performance of lavaan SEM / CFA Models
model_performance(<rma>)	Performance of Meta-Analysis Models
model_performance(<ivreg>)	Performance of instrumental variable regression models
model_performance(<kmeans>)	Model summary for k-means clustering
Check Model Assumptions or Properties
binned_residuals()	Binned residuals for binomial logistic regression
check_autocorrelation()	Check model for independence of residuals.
check_collinearity() multicollinearity()	Check for multicollinearity of model terms
check_convergence()	Convergence test for mixed effects models
check_distribution()	Classify the distribution of a model-family using machine learning
check_heteroscedasticity() check_heteroskedasticity()	Check model for (non-)constant error variance
check_sphericity()	Check model for violation of sphericity
check_homogeneity()	Check model for homogeneity of variances
check_normality()	Check model for (non-)normality of residuals.
check_outliers()	Outliers detection (check for influential observations)
check_overdispersion()	Check overdispersion of GL(M)M's
check_singularity()	Check mixed models for boundary fits
check_zeroinflation()	Check for zero-inflation in count models
pp_check() posterior_predictive_check() check_posterior_predictions()	Posterior predictive checks for frequentist models
Check Model Performance or Quality
performance_accuracy()	Accuracy of predictions from model fit
performance_aicc() performance_aic()	Compute the AIC or second-order AIC
performance_hosmer()	Hosmer-Lemeshow goodness-of-fit test
performance_logloss()	Log Loss
performance_mae() mae()	Mean Absolute Error of Models
performance_mse() mse()	Mean Square Error of Linear Models
performance_pcp()	Percentage of Correct Predictions
performance_rmse() rmse()	Root Mean Squared Error
performance_roc()	Simple ROC curve
performance_rse()	Residual Standard Error for Linear Models
performance_score()	Proper Scoring Rules
icc() variance_decomposition()	Intraclass Correlation Coefficient (ICC)
looic()	LOO-related Indices for Bayesian regressions.
Check Items and Scales
check_itemscale()	Describe Properties of Item Scales
cronbachs_alpha()	Cronbach's Alpha for Items or Scales
item_difficulty()	Difficulty of Questionnaire Items
item_intercor()	Mean Inter-Item-Correlation
item_reliability()	Reliability Test for Items or Scales
item_split_half()	Split-Half Reliability
Comparing and Testing Models
compare_performance()	Compare performance of different models
test_bf() test_likelihoodratio() performance_lrt() test_lrt() test_performance() test_vuong() test_wald()	Test if Models are Different
R2 Functions
r2()	Compute the model's R2
r2_bayes() r2_posterior()	Bayesian R2
r2_coxsnell()	Cox & Snell's R2
r2_efron()	Efron's R2
r2_kullback()	Kullback-Leibler R2
r2_loo()	LOO-adjusted R2
r2_mcfadden()	McFadden's R2
r2_mckelvey()	McKelvey & Zavoinas R2
r2_nagelkerke()	Nagelkerke's R2
r2_nakagawa()	Nakagawa's R2 for mixed models
r2_somers()	Somers' Dxy rank correlation for binary outcomes
r2_tjur()	Tjur's R2 - coefficient of determination (D)
r2_xu()	Xu' R2 (Omega-squared)
r2_zeroinflated()	R2 for models with zero-inflation
Table Formatting
display(<performance_model>) print_md(<performance_model>)	Print tables in different output formats
reexports	Objects exported from other packages
Sample Data
classify_distribution	Machine learning model trained to classify distributions