Assessment of Regression Models Performance

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Documentation for package ‘performance’ version 0.4.4

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binned_residuals Binned residuals for logistic regression
check_autocorrelation Check model for independence of residuals.
check_autocorrelation.default Check model for independence of residuals.
check_collinearity Check for multicollinearity of model terms
check_collinearity.glmmTMB 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 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_model.default Visual check of model assumptions
check_normality Check model for (non-)normality of residuals.
check_outliers Outliers detection (check for influential observations)
check_outliers.data.frame Outliers detection (check for influential observations)
check_outliers.default Outliers detection (check for influential observations)
check_outliers.numeric 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
classify_distribution Machine learning model trained to classify distributions
compare_performance Compare performance of different models
cronbachs_alpha Cronbach's Alpha for Items or Scales
icc Intraclass Correlation Coefficient (ICC)
icc.brmsfit Intraclass Correlation Coefficient (ICC)
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
looic LOO-related Indices for Bayesian regressions.
model_performance Model Performance
model_performance.glm Performance of Regression Models
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.stanreg Performance of Bayesian Models
mse Mean Square Error of Linear Models
performance Model Performance
performance_accuracy Accuracy of predictions from model fit
performance_aic Compute AIC and second order AIC
performance_aicc Compute AIC and second order AIC
performance_hosmer Hosmer-Lemeshow goodness-of-fit test
performance_logloss Log Loss
performance_lrt Likelihood-Ratio-Test for Model Comparison
performance_mse Mean Square Error of Linear Models
performance_pcp Percentage of Correct Predictions
performance_rmse Root Mean Squared Error
performance_roc Simple ROC curve
performance_rse Residual Standard Error for Linear Models
performance_score Proper Scoring Rules
r2 Compute the model's R2
r2_bayes 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_tjur Tjur's R2 - coefficient of determination (D)
r2_xu Xu' R2 (Omega-squared)
r2_zeroinflated R2 for models with zero-inflation
rmse Root Mean Squared Error