MML and Diagnostic Modes | Load Data | Minimal Runnable Example | Diagnostics and Reporting | Fit and Diagnose with Full Data | Strict Diagnostics for RSM and PCM | Residual PCA and Reporting | Human-Readable Reporting API | Design Simulation and Prediction

Minimal setup | 1. Start with the revision guide | 2. Check the precision layer before strong claims | 3. Build structured manuscript outputs | Publication-readiness boundary | 4. Build tables from the same contract | 5. Add figure-ready visual data | 6. Reporting route when interaction screening matters | 7. Keep model comparison as a reporting review | 8. Report latent regression as a population-model branch | Recommended sequence | Related help

Minimal setup | 1. Targeting and scale structure | 2. Local response and level issues | Strict marginal follow-up | 3. Linking and coverage | 4. Residual structure and interaction screens | 5. Custom figures without losing the evidence boundary | 6. Secondary visual layer | Response-time QC context | Small-N shrinkage with uncertainty | Recommended sequence | Related help

Before fitting: model-choice triage | Report wording templates | Checking the support boundary | Source-grounded recovery interpretation | What works today | What works with caveats | What is intentionally restricted | Recommended substitutes | A worked example | Roadmap

Minimal setup | 1. Check connectedness first | 2. Export anchor candidates | 3. Residual DFF as a screening layer | 4. Refit DFF when subgroup comparisons are defensible | 5. Cell-level follow-up | 6. Model-estimated facet interactions | 7. Multi-wave anchor review | Recommended sequence | Related help

Mental model | A one-shot legacy-compatible call | Translating the specification file | Facets and labels | Anchoring | Bias and interaction | Wright map / variable map | Fit df and ZSTD review | Group anchoring and DFF | Reviewing output contracts and fit tables | Producing Facets-style output files | Recommended next steps

Why the MML calculations are shared | Mathematical Core | Current MML scope | Strict Marginal Diagnostic Target | Diagnostic Basis In The Package | Literature Positioning | Interpretation Boundaries | Assumption: independent-Bernoulli variance for grouped counts | Validation Scope In The Current Release | Why GPCM Is The Current Upper Scope | Equal weighting as a model-choice principle | Practical Reading Order | Future extensions | Recommended Expert Reading Of Package Output | Key References