1. 1. Introduction
  2. 2. Installation
  3. 3. The lace workflow
    1. 3.1. Create and edit a codebook
    2. 3.2. Run/train/fit a model
    3. 3.3. Conduct an analysis
  4. 4. Probabilistic Cross-Categorization
    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
  5. 5. Preparing your data
  6. 6. Codebook reference
  7. 7. Appendix
    1. 7.1. Stats primer
    2. 7.2. Glossary
    3. 7.3. References

Lace Documentation

Appendix

  • Statistics primer
  • Glossary
  • Reference list