Assessment of Regression Models Performance

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Documentation for package ‘performance’ version 0.13.0

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A B C D I L M P R S T V

-- A --

as.dag Check correct model adjustment for identifying causal effects

-- 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_dag Check correct model adjustment for identifying causal effects
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_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
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.mlm Compute the model's R2
r2_bayes Bayesian R2
r2_coxsnell Cox & Snell's R2
r2_efron Efron's R2
r2_ferrari Ferrari's and Cribari-Neto's R2
r2_ferrari.default Ferrari's and Cribari-Neto'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_mlm Multivariate 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)