compare_performance.md
In performance: Assessment of Regression Models Performance

compare_performance

Code
  print(compare_performance(lm1, lm2, lm3))
Output
  # Comparison of Model Performance Indices

  Name | Model | AIC (weights) | AICc (weights) | BIC (weights) |    R2
  ---------------------------------------------------------------------
  lm1  |    lm | 231.5 (<.001) |  231.7 (<.001) | 243.5 (<.001) | 0.619
  lm2  |    lm | 106.2 (0.566) |  106.6 (0.611) | 121.3 (0.964) | 0.837
  lm3  |    lm | 106.8 (0.434) |  107.6 (0.389) | 127.8 (0.036) | 0.840

  Name | R2 (adj.) |  RMSE | Sigma
  --------------------------------
  lm1  |     0.614 | 0.510 | 0.515
  lm2  |     0.833 | 0.333 | 0.338
  lm3  |     0.835 | 0.330 | 0.336

Code
  print(compare_performance(lm1, lm2, lm3), table_width = Inf)
Output
  # Comparison of Model Performance Indices

  Name | Model | AIC (weights) | AICc (weights) | BIC (weights) |    R2 | R2 (adj.) |  RMSE | Sigma
  -------------------------------------------------------------------------------------------------
  lm1  |    lm | 231.5 (<.001) |  231.7 (<.001) | 243.5 (<.001) | 0.619 |     0.614 | 0.510 | 0.515
  lm2  |    lm | 106.2 (0.566) |  106.6 (0.611) | 121.3 (0.964) | 0.837 |     0.833 | 0.333 | 0.338
  lm3  |    lm | 106.8 (0.434) |  107.6 (0.389) | 127.8 (0.036) | 0.840 |     0.835 | 0.330 | 0.336

Code
  print(compare_performance(lm1, lm2, lm3), layout = "vertical")
Output
  # Comparison of Model Performance Indices

  Metric         |           lm1 |           lm2 |           lm3
  --------------------------------------------------------------
  Model          |            lm |            lm |            lm
  AIC (weights)  | 231.5 (<.001) | 106.2 (0.566) | 106.8 (0.434)
  AICc (weights) | 231.7 (<.001) | 106.6 (0.611) | 107.6 (0.389)
  BIC (weights)  | 243.5 (<.001) | 121.3 (0.964) | 127.8 (0.036)
  R2             |         0.619 |         0.837 |         0.840
  R2 (adj.)      |         0.614 |         0.833 |         0.835
  RMSE           |         0.510 |         0.333 |         0.330
  Sigma          |         0.515 |         0.338 |         0.336

Code
  print(compare_performance(lm1, lm2, lm3, lm4), layout = "vertical",
  table_width = 50)
Message
  When comparing models, please note that probably not all models were fit
    from same data.
Output
  # Comparison of Model Performance Indices

  Metric         |           lm1 |           lm2
  ----------------------------------------------
  Model          |            lm |            lm
  AIC (weights)  | 231.5 (<.001) | 106.2 (0.408)
  AICc (weights) | 231.7 (<.001) | 106.6 (0.454)
  BIC (weights)  | 243.5 (<.001) | 121.3 (0.933)
  R2             |         0.619 |         0.837
  R2 (adj.)      |         0.614 |         0.833
  RMSE           |         0.510 |         0.333
  Sigma          |         0.515 |         0.338

  Metric         |           lm3 |           lm4
  ----------------------------------------------
  Model          |            lm |            lm
  AIC (weights)  | 106.8 (0.313) | 107.0 (0.279)
  AICc (weights) | 107.6 (0.289) | 107.8 (0.257)
  BIC (weights)  | 127.8 (0.035) | 128.0 (0.032)
  R2             |         0.840 |         0.840
  R2 (adj.)      |         0.835 |         0.834
  RMSE           |         0.330 |         0.331
  Sigma          |         0.336 |         0.337