Assessment of Regression Models Performance

Documentation for package ‘performance’ version 0.11.0

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B C D I L M P R S T V

-- B --

binned_residuals

Binned residuals for binomial logistic regression

-- C --

check_autocorrelation	Check model for independence of residuals.
check_autocorrelation.default	Check model for independence of residuals.
check_clusterstructure	Check suitability of data for clustering
check_collinearity	Check for multicollinearity of model terms
check_collinearity.default	Check for multicollinearity of model terms
check_collinearity.glmmTMB	Check for multicollinearity of model terms
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_factorstructure	Check suitability of data for Factor Analysis (FA) with Bartlett's Test of Sphericity and KMO
check_heterogeneity_bias	Check model predictor for heterogeneity bias
check_heteroscedasticity	Check model for (non-)constant error variance
check_heteroskedasticity	Check model for (non-)constant error variance
check_homogeneity	Check model for homogeneity of variances
check_homogeneity.afex_aov	Check model for homogeneity of variances
check_itemscale	Describe Properties of Item Scales
check_kmo	Check suitability of data for Factor Analysis (FA) with Bartlett's Test of Sphericity and KMO
check_model	Visual check of model assumptions
check_model.default	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_normality.merMod	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_outliers.performance_simres	Outliers detection (check for influential observations)
check_overdispersion	Check overdispersion (and underdispersion) of GL(M)M's
check_overdispersion.performance_simres	Check overdispersion (and underdispersion) of GL(M)M's
check_posterior_predictions	Posterior predictive checks
check_predictions	Posterior predictive checks
check_predictions.default	Posterior predictive checks
check_residuals	Check uniformity of simulated residuals
check_residuals.default	Check uniformity of simulated residuals
check_singularity	Check mixed models for boundary fits
check_sphericity	Check model for violation of sphericity
check_sphericity_bartlett	Check suitability of data for Factor Analysis (FA) with Bartlett's Test of Sphericity and KMO
check_symmetry	Check distribution symmetry
check_zeroinflation	Check for zero-inflation in count models
check_zeroinflation.default	Check for zero-inflation in count models
check_zeroinflation.performance_simres	Check for zero-inflation in count models
classify_distribution	Classify the distribution of a model-family using machine learning
compare_performance	Compare performance of different models
cronbachs_alpha	Cronbach's Alpha for Items or Scales

-- D --

display.performance_model

Print tables in different output formats

-- I --

icc	Intraclass Correlation Coefficient (ICC)
item_difficulty	Difficulty of Questionnaire Items
item_discrimination	Discrimination of Questionnaire Items
item_intercor	Mean Inter-Item-Correlation
item_reliability	Reliability Test for Items or Scales
item_split_half	Split-Half Reliability

-- L --

looic

LOO-related Indices for Bayesian regressions.

-- M --

mae	Mean Absolute Error of Models
model_performance	Model Performance
model_performance.BFBayesFactor	Performance of Bayesian Models
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	Performance of Bayesian Models
mse	Mean Square Error of Linear Models
multicollinearity	Check for multicollinearity of model terms

-- P --

performance	Model Performance
performance_accuracy	Accuracy of predictions from model fit
performance_aic	Compute the AIC or second-order AIC
performance_aic.default	Compute the AIC or second-order AIC
performance_aic.lmerMod	Compute the AIC or second-order AIC
performance_aicc	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	Mean Absolute Error of Models
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
posterior_predictive_check	Posterior predictive checks
print_md.compare_performance	Print tables in different output formats
print_md.performance_model	Print tables in different output formats

-- R --

r2	Compute the model's R2
r2.default	Compute the model's R2
r2.merMod	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_kullback.glm	Kullback-Leibler R2
r2_loo	LOO-adjusted R2
r2_loo_posterior	LOO-adjusted R2
r2_loo_posterior.brmsfit	LOO-adjusted R2
r2_loo_posterior.stanreg	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_posterior	Bayesian R2
r2_posterior.BFBayesFactor	Bayesian R2
r2_posterior.brmsfit	Bayesian R2
r2_posterior.stanreg	Bayesian R2
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
residuals.performance_simres	Simulate randomized quantile residuals from a model
rmse	Root Mean Squared Error

-- S --

simulate_residuals

Simulate randomized quantile residuals from a model

-- T --

test_bf	Test if models are different
test_bf.default	Test if models are different
test_likelihoodratio	Test if models are different
test_lrt	Test if models are different
test_performance	Test if models are different
test_vuong	Test if models are different
test_wald	Test if models are different

-- V --

variance_decomposition

Intraclass Correlation Coefficient (ICC)