Getting started¶
This section takes you from an empty environment to an inspected, fitted, and saved mixed-effects model. It also explains how to choose the analysis family before writing code.
1 · Install PyMixEF
Pick the smallest install that supports your workflow, verify the version, and understand Python and optional-dependency requirements.
2 · Fit a first model
Run a complete LMM, inspect convergence, compare prediction modes, and save a portable result.
3 · Choose an analysis
Use endpoint type, clustering, repeated-measures covariance, and scientific aim to select LMM, GLMM, MMRM, PK/ODE, or the typed DSL.
4 · Learn the core workflow
Understand the separation between model declaration, validation, compilation, estimation, interpretation, diagnostics, and evidence preservation.