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I'm Michael, and I do all manner of things within the realm of data science. Here you'll find source code for modeling, packages, general programming, and various other things.


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Michael Clark's Projects

advice-to-the-graduate icon advice-to-the-graduate

Some thoughts, particularly for graduate students, but any researcher in applied disciplines on what they can do regarding statistical and programming basics to make their research efforts more efficient.

bayesian-basics icon bayesian-basics

:no_entry_sign: :leftwards_arrow_with_hook: A document that introduces Bayesian data analysis.

bigr icon bigr

Raw files for a document that will serve as a reference for dealing with 'big' data in R.

bookdown icon bookdown

Authoring Books and Technical Documents with R Markdown

clustered-data icon clustered-data

Raw files for a document covering different approaches to dealing with dependent data.

confusionmatrix icon confusionmatrix

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

data-processing-and-visualization icon data-processing-and-visualization

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.

distill-workshop icon distill-workshop

This will introduce R users to the Distill format for R Markdown, for scientific communication and building websites.

docs icon docs

Documents that go into methodological detail regarding various statistical procedures.

easy-bayes icon easy-bayes

Workshop to introduce participants to rstanarm and brms.

fastr icon fastr

Raw files for a document covering techniques for speeding up R, especially before parallelization.

gammit icon gammit

Functions for using mgcv for mixed models. 📈

heatr icon heatr

Visualizing correlation matrix structure.

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