III The Science Behind Optimus RP
Part III
The Science Behind Optimus RP
17 Formulas and Theories
17.1 Split-Prediction Methodology
17.2 Normally Distributed Response Binomial Predictor
17.3 Normally Distributed Response Continuous-Ordinal Predictor
17.4 Normally Distributed Response Categorical Predictor
17.5 Linear Regression From a Tree Node
17.6 Linear Regression with Continuous Response (Optional Module)
17.7 Permutation Test Methodology (Optional Module)
17.8 Results from Linear Regression (Optional Module)
17.9 Binomially Distributed Response Binary Predictor
17.10 Binomially Distributed Response Continuous/Ordinal Predictor
17.11 Binomially Distributed Response Categorical Predictor
17.12 Logistic Regression From a Tree Node
17.13 Logistic Regression with Binomial Response (Optional Module)
17.14 Results from Logistic Regression (Optional Module)
17.15 Caveats
17.16 Categorical Response
17.17 The False Discovery Rate and the Simes Method
A EULA
B REFERENCES
C BUG FIX HISTORY
C.1 Bugs Fixed in Version 4.2.0 of Optimus RP
C.2 Bugs Fixed in Version of 3.0.0 of Optimus RP
C.3 Bugs Fixed in Version of 2.1.2 of Optimus RP