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superglm

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  • Tutorials
  • How-to guides
  • Explanation
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  • Get started
  • Tutorials
  • How-to guides
  • Explanation
  • API reference
  • Governance
  • Development
  • GitHub
  • PyPI

Section Navigation

  • How REML chooses smoothness
  • Families and Dispersion Estimation
  • Credibility And Factor-Varying Smooths
  • Screening Evaluation
  • How To Think About REML and the Solvers
  • Explanation

Explanation#

Why the package works the way it does: the estimators behind fit_reml, what weights mean, how credibility becomes smoothing, and what interaction screening can and cannot detect.

  • How REML chooses smoothness
  • Families and Dispersion Estimation
  • Credibility And Factor-Varying Smooths
  • Screening Evaluation
  • How To Think About REML and the Solvers

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Checking and Explaining a Distributional Fit

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How REML chooses smoothness

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