Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax1
2.1 Probability Structure . . . . . . . . . . . . . . . . . . . . . . . 8 2.2 Conditional Distributions . . . . . . . . . . . . . . . . . . . . . 10 2.2.1 Nominal and ordinal dependent variables . . . . . . . . 10 2.2.2 Continuous dependent variables . . . . . . . . . . . . . 11 2.2.3 Poisson counts . . . . . . . . . . . . . . . . . . . . . . 12 2.2.4 Binomial counts . . . . . . . . . . . . . . . . . . . . . . 13 2.2.5 Latent variables . . . . . . . . . . . . . . . . . . . . . . 15 2.3 Types of GLM-family Regression Models . . . . . . . . . . . . 15 2.4 Coding of Nominal Variables . . . . . . . . . . . . . . . . . . . 17 2.5 Known-Clas
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technical guide for latent gold 51 basic advanc