• STARS
  • Preface
    • Audience
    • Prerequisites
    • Goal
    • Outline
    • Workshop Setup
      • RStudio
      • Data
    • Other
  • Why not just use standard methods?
    • Heteroscedasticity, non-normality etc.
  • Polynomial Regression
    • A more complex relationship
      • Polynomial regression is problematic
  • Building up to GAMs
    • Piecewise polynomial
    • Introducing GAMs
    • Polynomial spline
  • Practical GAM
    • Getting started
    • Fitting the model
      • Visualizing the effects
  • Issues
  • Summary
  • Exercises
    • Exercise 1
    • Exercise 2
      • 2a
      • 2b
      • 2c
    • Exercise 3
    • Exercise 4
  • Technical details
    • GAM Introduction
      • Penalized regression
    • A detailed example
      • Preview of other bases
    • The number of knots and where to put them.
    • Interpreting output for smooth terms
      • Effective degrees of freedom
      • Deviance explained
      • Visual depiction
  • References
  • MC logo

My God! It’s full of STARs!

My God! It’s full of STARs!

Using Astrology to Enhance Your Results!

Michael Clark https://m-clark.github.io/ University of Michigan: CSCAR University of Michigan: Advanced Research Computing

2018-09-01