model-fit-stats.md
In blorr: Tools for Developing Binary Logistic Regression Models

blr_model_fit_stats prints the correct output

Code
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Output
                                Model Fit Statistics                                
  ---------------------------------------------------------------------------------
  Log-Lik Intercept Only:      -115.644    Log-Lik Full Model:              -80.118 
  Deviance(196):                160.236    LR(3):                            71.052 
                                           Prob > LR:                         0.000 
  MCFadden's R2                   0.307    McFadden's Adj R2:                 0.273 
  ML (Cox-Snell) R2:              0.299    Cragg-Uhler(Nagelkerke) R2:        0.436 
  McKelvey & Zavoina's R2:        0.518    Efron's R2:                        0.330 
  Count R2:                       0.810    Adj Count R2:                      0.283 
  BIC:                          181.430    AIC:                             168.236 
  ---------------------------------------------------------------------------------

blr_multi_model_fit_stats prints the correct output

Code
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Output
                                 Measures  Model 1  Model 2
  loglik_null      Log-Lik Intercept Only -115.644 -115.644
  loglik_model         Log-Lik Full Model  -80.118  -84.570
  m_deviance                     Deviance  160.236  169.141
  lr_ratio                             LR   71.052   62.148
  lr_pval                       Prob > LR    0.000    0.000
  mcfadden                  MCFadden's R2    0.307    0.269
  adj_mcfadden          McFadden's Adj R2    0.273    0.225
  m_aic                 ML (Cox-Snell) R2  168.236  179.141
  cox_snell    Cragg-Uhler(Nagelkerke) R2    0.299    0.267
  m_bic           McKelvey & Zavoina's R2  181.430  195.632
  mckelvey                     Efron's R2    0.518    0.440
  effron                         Count R2    0.330    0.281
  nagelkerke                 Adj Count R2    0.436    0.390
  count_r2                            AIC    0.810    0.785
  count_adj                           BIC    0.283    0.189

blr_lr_test prints the correct output

Code
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Output
      Likelihood Ratio Test      
  ------------------------------
  Chi-Square    DF    Pr > ChiSq 
  ------------------------------
   71.0525      3       0.0000   
  ------------------------------