1. 1. Introduction
2. 2. Installation
3. 3. The lace workflow
4. 1. 3.1. Create and edit a codebook
   2. 3.2. Run/train/fit a model
   3. 3.3. Conduct an analysis
5. 4. Probabilistic Cross-Categorization
6. 1. 4.1. Dependence Probability
   2. 4.2. Mutual Information
   3. 4.3. Row similarity
   4. 4.4. Likelihood
   5. 4.5. Prediction & Imputation
   6. 4.6. Surprisal
   7. 4.7. Data Simulation
   8. 4.8. In- and out-of-table operations
   9. 4.9. Adding data to a model
   10. 4.10. Prior processes
7. 5. Preparing your data
8. 6. Codebook reference
9. 7. Appendix
10. 1. 7.1. Stats primer
    2. 7.2. Glossary
    3. 7.3. References