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The FMM Procedure

Overview
Basic Features Assumptions Notation for the Finite Mixture Model PROC FMM Contrasted with Other SAS Procedures
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
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
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
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!Modeling Multinomial Overdispersion: Town and Country
References

Bayesian Analysis

Subsections:

Conjugate Sampling
Metropolis-Hastings Algorithm
Latent Variables via Data Augmentation
Prior Distributions

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