Package index (original) (raw)

Comprehensive Summaries

[model_performance()](model%5Fperformance.html) [performance()](model%5Fperformance.html)

Model Performance

[model_performance(_<ivreg>_)](model%5Fperformance.ivreg.html)

Performance of instrumental variable regression models

[model_performance(_<kmeans>_)](model%5Fperformance.kmeans.html)

Model summary for k-means clustering

[model_performance(_<lavaan>_)](model%5Fperformance.lavaan.html)

Performance of lavaan SEM / CFA Models

[model_performance(_<lm>_)](model%5Fperformance.lm.html)

Performance of Regression Models

[model_performance(_<merMod>_)](model%5Fperformance.merMod.html)

Performance of Mixed Models

[model_performance(_<rma>_)](model%5Fperformance.rma.html)

Performance of Meta-Analysis Models

[model_performance(_<stanreg>_)](model%5Fperformance.stanreg.html) [model_performance(_<BFBayesFactor>_)](model%5Fperformance.stanreg.html)

Performance of Bayesian Models

Check Model Assumptions or Data Properties

[binned_residuals()](binned%5Fresiduals.html)

Binned residuals for binomial logistic regression

[check_autocorrelation()](check%5Fautocorrelation.html)

Check model for independence of residuals.

[check_clusterstructure()](check%5Fclusterstructure.html)

Check suitability of data for clustering

[check_collinearity()](check%5Fcollinearity.html) [multicollinearity()](check%5Fcollinearity.html) [check_concurvity()](check%5Fcollinearity.html)

Check for multicollinearity of model terms

[check_convergence()](check%5Fconvergence.html)

Convergence test for mixed effects models

[check_dag()](check%5Fdag.html) [as.dag()](check%5Fdag.html)

Check correct model adjustment for identifying causal effects

[check_distribution()](check%5Fdistribution.html)

Classify the distribution of a model-family using machine learning

[check_factorstructure()](check%5Ffactorstructure.html) [check_kmo()](check%5Ffactorstructure.html) [check_sphericity_bartlett()](check%5Ffactorstructure.html)

Check suitability of data for Factor Analysis (FA) with Bartlett's Test of Sphericity and KMO

[check_group_variation()](check%5Fgroup%5Fvariation.html) [summary(_<checkgroupvariation>_)](check%5Fgroup%5Fvariation.html)

Check variables for within- and/or between-group variation

[check_heterogeneity_bias()](check%5Fheterogeneity%5Fbias.html)

Check model predictor for heterogeneity bias (Deprecated)

[check_heteroscedasticity()](check%5Fheteroscedasticity.html) [check_heteroskedasticity()](check%5Fheteroscedasticity.html)

Check model for (non-)constant error variance

[check_homogeneity()](check%5Fhomogeneity.html)

Check model for homogeneity of variances

[check_itemscale()](check%5Fitemscale.html)

Describe Properties of Item Scales

[check_model()](check%5Fmodel.html)

Visual check of model assumptions

[check_multimodal()](check%5Fmultimodal.html)

Check if a distribution is unimodal or multimodal

[check_normality()](check%5Fnormality.html)

Check model for (non-)normality of residuals.

[check_outliers()](check%5Foutliers.html)

Outliers detection (check for influential observations)

[check_overdispersion()](check%5Foverdispersion.html)

Check overdispersion (and underdispersion) of GL(M)M's

[check_predictions()](check%5Fpredictions.html)

Posterior predictive checks

[check_residuals()](check%5Fresiduals.html)

Check distribution of simulated quantile residuals

[check_singularity()](check%5Fsingularity.html)

Check mixed models for boundary fits

[check_sphericity()](check%5Fsphericity.html)

Check model for violation of sphericity

[check_symmetry()](check%5Fsymmetry.html)

Check distribution symmetry

[check_zeroinflation()](check%5Fzeroinflation.html)

Check for zero-inflation in count models

[simulate_residuals()](simulate%5Fresiduals.html) [residuals(_<performancesimres>_)](simulate%5Fresiduals.html)

Simulate randomized quantile residuals from a model

Check Model Performance or Quality

[performance_accuracy()](performance%5Faccuracy.html)

Accuracy of predictions from model fit

[performance_aicc()](performance%5Faicc.html) [performance_aic()](performance%5Faicc.html)

Compute the AIC or second-order AIC

[performance_cv()](performance%5Fcv.html)

Cross-validated model performance

[performance_hosmer()](performance%5Fhosmer.html)

Hosmer-Lemeshow goodness-of-fit test

[performance_logloss()](performance%5Flogloss.html)

Log Loss

[performance_mae()](performance%5Fmae.html) [mae()](performance%5Fmae.html)

Mean Absolute Error of Models

[performance_mse()](performance%5Fmse.html) [mse()](performance%5Fmse.html)

Mean Square Error of Linear Models

[performance_pcp()](performance%5Fpcp.html)

Percentage of Correct Predictions

[performance_reliability()](performance%5Freliability.html) [performance_dvour()](performance%5Freliability.html)

Random Effects Reliability

[performance_rmse()](performance%5Frmse.html) [rmse()](performance%5Frmse.html)

Root Mean Squared Error

[performance_roc()](performance%5Froc.html)

Simple ROC curve

[performance_rse()](performance%5Frse.html)

Residual Standard Error for Linear Models

[performance_score()](performance%5Fscore.html)

Proper Scoring Rules

[icc()](icc.html) [variance_decomposition()](icc.html)

Intraclass Correlation Coefficient (ICC)

[looic()](looic.html)

LOO-related Indices for Bayesian regressions.

Check Items and Scales

[check_itemscale()](check%5Fitemscale.html)

Describe Properties of Item Scales

[cronbachs_alpha()](cronbachs%5Falpha.html)

Cronbach's Alpha for Items or Scales

[item_difficulty()](item%5Fdifficulty.html)

Difficulty of Questionnaire Items

[item_discrimination()](item%5Fdiscrimination.html)

Discrimination of Questionnaire Items

[item_intercor()](item%5Fintercor.html)

Mean Inter-Item-Correlation

[item_reliability()](item%5Freliability.html)

Reliability Test for Items or Scales

[item_split_half()](item%5Fsplit%5Fhalf.html)

Split-Half Reliability

Comparing and Testing Models

[compare_performance()](compare%5Fperformance.html)

Compare performance of different models

[test_bf()](test%5Fperformance.html) [test_likelihoodratio()](test%5Fperformance.html) [test_lrt()](test%5Fperformance.html) [test_performance()](test%5Fperformance.html) [test_vuong()](test%5Fperformance.html) [test_wald()](test%5Fperformance.html)

Test if models are different

R2 Functions

[r2()](r2.html)

Compute the model's R2

[r2_bayes()](r2%5Fbayes.html) [r2_posterior()](r2%5Fbayes.html)

Bayesian R2

[r2_coxsnell()](r2%5Fcoxsnell.html)

Cox & Snell's R2

[r2_efron()](r2%5Fefron.html)

Efron's R2

[r2_ferrari()](r2%5Fferrari.html)

Ferrari's and Cribari-Neto's R2

[r2_kullback()](r2%5Fkullback.html)

Kullback-Leibler R2

[r2_loo()](r2%5Floo.html) [r2_loo_posterior()](r2%5Floo.html)

LOO-adjusted R2

[r2_mcfadden()](r2%5Fmcfadden.html)

McFadden's R2

[r2_mckelvey()](r2%5Fmckelvey.html)

McKelvey & Zavoinas R2

[r2_mlm()](r2%5Fmlm.html)

Multivariate R2

[r2_nagelkerke()](r2%5Fnagelkerke.html)

Nagelkerke's R2

[r2_nakagawa()](r2%5Fnakagawa.html)

Nakagawa's R2 for mixed models

[r2_somers()](r2%5Fsomers.html)

Somers' Dxy rank correlation for binary outcomes

[r2_tjur()](r2%5Ftjur.html)

Tjur's R2 - coefficient of determination (D)

[r2_xu()](r2%5Fxu.html)

Xu' R2 (Omega-squared)

[r2_zeroinflated()](r2%5Fzeroinflated.html)

R2 for models with zero-inflation

Table Formatting

[display(_<performancemodel>_)](display.performance%5Fmodel.html) [print_md(_<performancemodel>_)](display.performance%5Fmodel.html) [print_md(_<compareperformance>_)](display.performance%5Fmodel.html)

Print tables in different output formats

[reexports](reexports.html) [display](reexports.html) [print_md](reexports.html) [print_html](reexports.html)

Objects exported from other packages

Sample Data

[classify_distribution](classify%5Fdistribution.html)

Classify the distribution of a model-family using machine learning