Scope | A reproducible MAR-like example | Keep the two information choices separate | Why observed information is the default | Comparing observed and expected model information | Nested FIML comparison | FIML with several groups | What to report | References

Scope | Overall goodness of fit | Estimator families | Mixed indicators | Pairwise missingness | Nested categorical models | Practical checks | References

Scope | A reproducible missing-data mechanism | Linear growth under FIML | Is the growth linear?

Scope | The configural model | Thresholds first | Then the loadings | References

Introduction | Choose a focused guide | Basic usage: goodness of fit | The test-name grammar | Nested model comparison | More data families | Ordered and mixed indicators | References

Scope | Overall goodness of fit | Reading the result | Nested comparison | GLS and ULS | Practical checks | References

Basic usage | Custom densities and kernels | Parametric starts | Example: A skew hyperbolic t-distribution start | Kernels

Abalone data | References

Mortality in Ancient Egypt | Comparing Many Models with AIC | Automatically select the best model | Quantile-quantile Plots | Plot Densities | Confidence Intervals with Parametric Bootstrap | Density, CDF, quantiles and random variate generation

Problematic Distributions | Discrete distributions | Continuous distributions