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ID Statement
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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
 
ID Statement
ID variables ;
The ID statement specifies a list of variables that are included in the OUT= data set of the OUTPUT statement. If no ID statement is specified, all variables from the input data set are copied into the output data set.
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