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Comprehensive Summaries

model_performance() performance()
Model Performance
model_performance(<ivreg>)
Performance of instrumental variable regression models
model_performance(<kmeans>)
Model summary for k-means clustering
model_performance(<lavaan>)
Performance of lavaan SEM / CFA Models
model_performance(<lm>)
Performance of Regression Models
model_performance(<merMod>)
Performance of Mixed Models
model_performance(<rma>)
Performance of Meta-Analysis Models
model_performance(<stanreg>) model_performance(<BFBayesFactor>)
Performance of Bayesian Models

Check Model Assumptions or Data Properties

binned_residuals()
Binned residuals for binomial logistic regression
check_autocorrelation()
Check model for independence of residuals.
check_collinearity() multicollinearity() check_concurvity()
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_heterogeneity_bias()
Check model predictor for heterogeneity bias
check_heteroscedasticity() check_heteroskedasticity()
Check model for (non-)constant error variance
check_homogeneity()
Check model for homogeneity of variances
check_itemscale()
Describe Properties of Item Scales
check_model()
Visual check of model assumptions
check_multimodal()
Check if a distribution is unimodal or multimodal
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_predictions() posterior_predictive_check() check_posterior_predictions()
Posterior predictive checks
check_singularity()
Check mixed models for boundary fits
check_sphericity()
Check model for violation of sphericity
check_zeroinflation()
Check for zero-inflation in count 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_cv()
Cross-validated model performance
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
test_bf() test_likelihoodratio() performance_lrt() test_lrt() test_performance() test_vuong() test_wald()
Test if models are different
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

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() r2_loo_posterior()
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_md(<compare_performance>)
Print tables in different output formats
reexports
Objects exported from other packages

Sample Data

classify_distribution
Classify the distribution of a model-family using machine learning