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Response Profile
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The FMM Procedure (Experimental)

  • Overview Procedure Overview
    Basic Features Assumptions Notation for the Finite Mixture Model PROC FMM Contrasted with Other SAS Procedures
  • Getting Started Getting Started
    Mixture Modeling for Binomial Overdispersion: Student, Pearson, Beer, and Yeast Modeling Zero-Inflation: Is it Better to Fish Poorly or Not to Have Fished At All? Looking for Multiple Modes: Are Galaxies Clustered?
  • Syntax Procedure Syntax
    PROC FMM Statement BAYES Statement BY Statement CLASS Statement FREQ Statement ID Statement MODEL Statement OUTPUT Statement PERFORMANCE Statement PROBMODEL Statement RESTRICT Statement WEIGHT Statement
  • Details Procedure Details
    A Gentle Introduction to Finite Mixture Models Log-Likelihood Functions for Response Distributions Bayesian Analysis Parameterization of Model Effects Default Output ODS Table Names ODS Graphics
  • Examples Procedure Examples
    Modeling Mixing Probabilities: All Mice Are Created Equal, but Some Are More Equal The Usefulness of Custom Starting Values: When Do Cows Eat? Enforcing Homogeneity Constraints: Count and Dispersion—It Is All Over!
  • References
 

Response Profile

For binary data, the "Response Profile" table displays the ordered value from which the FMM procedure determines the probability being modeled as an event for binary data. For each response category level, the frequency used in the analysis is reported.

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