Assessment of Regression Models Performance

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Documentation for package ‘performance’ version 0.1.0

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binned_residuals Binned residuals for logistic regression
check_convergence Convergence test for mixed effects models
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
compare_performance Model Performance
cronbachs_alpha Cronbach's Alpha for Items or Scales
error_rate Error Rate for Logistic Regression Models
hosmer_lemeshow Hosmer-Lemeshow goodness-of-fit test
icc The Intraclass Correlation Coefficient (ICC) for mixed models
icc.brmsfit The Intraclass Correlation Coefficient (ICC) for mixed models
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 (Generalized) Linear Models
model_performance.lm Performance of (Generalized) Linear Models
model_performance.merMod Performance of Mixed Models
model_performance.stanreg Performance of Bayesian Models
mse Mean Square Error of Linear Models
principal_components Principal Components Analysis
r2 Compute the model's R2
r2_bayes Bayesian R2
r2_coxnell Cox & Snell's R2
r2_kl Kullback-Leibler R2
r2_loo LOO-adjusted R2
r2_mcfadden McFadden's R2
r2_nagelkerke Nagelkerke's R2
r2_nakagawa Nakagawa's R2 for mixed models
r2_tjur Tjur's R2 - coefficient of determination (D)
rmse Root Mean Squared Error of Linear Models
rse Residual Standard Error for Linear Models