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Michael's GitHub Space




I'm Michael, and I work primarily with R doing all manner of things with statistics and data science at CSCAR, at the University of Michigan. Here you'll find source code for workshops, packages, posts, and various other things.


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  1. Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms.

    R 135 69

  2. 🚫 ↩️ A document that introduces Bayesian data analysis.

    Stan 48 22

  3. A document introducing generalized additive models.📈

    R 39 18

  4. Covers the basics of mixed models, mostly using @lme4

    R 30 12

  5. This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Python as Jupyter notebooks.

    Jupyter Notebook 14 6

  6. An R package for extracting results from mixed models that are easy to use and viable for presentation.

    R 7

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