Michael Clark (m-clark)

m-clark

Geek Repo

Company:Senior Machine Learning Scientist @strongio

Location:Ann Arbor

Home Page:https://m-clark.github.io/

Twitter:@statsdatasci

Github PK Tool:Github PK Tool


Organizations
CSCAR
strongio
UMCSTaR

Michael Clark's repositories

stanR_workshop

A workshop on using Stan with R.

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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.

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topic-models-demo

Demonstration of a standard topic model approach

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data-manipulation-in-r

Set of slides for a workshop introducing dplyr related functionality, piping and related.

mixed-models-growth-curves-simulation

Raw files for a document simulating models for longitudinal data (mixed models and growth curve models).

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correlation-measures

Raw files for a summary of various measures of dependency.

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Datasets

Datasets I used at some point.

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fastR

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

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latent-variables-and-sum-scores

Raw files for a document examining the use of latent variable and sum scores for secondary analysis.

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lords-paradox

Lord's paradox

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mixed-growth-comparison

A demonstration of the equivalence of growth curves and mixed models

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mixed-models-anova

Raw files for a document introducing mixed models for those familiar with ANOVA.

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mixed-models-growth-curves

Raw files for a document comparing mixed models and growth curve models (sem).

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atpRankingsHistory

a look at the big 4

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categorical-regression-models

Raw files for a document that provides an overview of models for the case of a categorical dependent variable.

mixed-models-estimation

Raw files for a document demonstrating some by hand estimation of mixed models.

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mixed-models-overview

Raw files for a document providing an overview of mixed models from varying perspectives.

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r-bootcamp

an afternoon/day course to introduce R programming

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bigR

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

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old-dsss

These are an R version of Kerby Shedden's Python notes from the initial Data Science Skills Series

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pop

playing with tidycensus

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qualtricsR

Easy Qualtrics REST API calls through R.

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R-for-social-science

Hastily put together document with social science oriented demos of R.

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tbd

statistical science, data expression, computational reasoning

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testGit

playtime

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