TutorialsΒΆ

  • Norton-Bass Model for Generational Substitution
  • Multi-Product Diffusion Model
  • JAX Backend for High-Performance Computing
  • NDlib Integration for Network-Based Diffusion
  • Counterfactual Analysis
  • Bayesian Fitting for Diffusion Models
    • Introduction to Bayesian Fitting
    • A Simple Example: Fitting a Logistic Model
    • Conclusion

innovate

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Contents:

  • innovate package
  • Tutorials
    • Norton-Bass Model for Generational Substitution
    • Multi-Product Diffusion Model
    • JAX Backend for High-Performance Computing
    • NDlib Integration for Network-Based Diffusion
    • Counterfactual Analysis
    • Bayesian Fitting for Diffusion Models

Core Modules

  • innovate.diffuse package
  • innovate.compete package
  • innovate.substitute package
  • innovate.hype package
  • innovate.fail package
  • innovate.adopt package
  • innovate.path_dependence package
  • innovate.policy package
  • innovate.abm

Utilities

  • innovate.plots package
  • innovate.utils package
  • innovate.adopt.categorization
  • innovate.fitters package
  • innovate.base package

Related Topics

  • Documentation overview
    • Previous: innovate.utils package
    • Next: Norton-Bass Model for Generational Substitution
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