m-clark

m-clark's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

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• ropensci/rtweet

  🐦 R client for interacting with Twitter's [stream and REST] APIs

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• yrosseel/lavaan

  an R package for structural equation modeling and more

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• JuliaStats/MixedModels.jl

  A Julia package for fitting (statistical) mixed-effects models

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• dpressel/dliss-tutorial

  Tutorial for International Summer School on Deep Learning, 2019

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• glmmTMB/glmmTMB

  glmmTMB

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• gavinsimpson/gratia

  ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

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• m-clark/Miscellaneous-R-Code

  Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. **Superseded by the models-by-example repo**.

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• mkearney/textfeatures

  👷‍♂️ A simple package for extracting useful features from character objects 👷‍♀️

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• EagerAI/fastai

  R interface to fast.ai

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• alexpghayes/distributions3

  Probability Distributions as S3 Objects

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• jgabry/bayes-workflow-book

  Source files for the book "Bayesian Workflow Using Stan"

  Language:Jupyter Notebook9217415

• m-clark/mixedup

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

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• mkearney/hex-stickers

  🗃 Hex stickers for my R pkgs

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• m-clark/noiris

  Any data but iris 👁

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• m-clark/exploratory-data-analysis-tools

  A survey of tools that make EDA more automated.

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• m-clark/mixed-models-with-R-workshop

  This is the companion slides, data, and RStudio project for a workshop on mixed models.

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• m-clark/more-mixed-models-2019

  Demonstration of alternatives to lme4

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• m-clark/gammit

  Functions for using mgcv for mixed models. 📈

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• m-clark/confusionMatrix

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

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• m-clark/R-I-Basics

  Getting started with using R more intently.

  7202

• m-clark/R-II-Programming

  Basic programming with R- understanding objects, iterative methods, writing functions, code style, and more.

  6201

• m-clark/R-III-Modeling

  Using models to understand relationships and make predictions.

  6201

• m-clark/R-IV-Visualization

  Getting started with pretty pictures in R

  4202

• Learning-Library-Analytics-Project/LLAP-Workshop-2019

  Data processing and more with R

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• m-clark/LLAP-2019

  Library Learning Analytics Project Workshop

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• m-clark/prior-sensitivity

  A test of how informative priors can be

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• m-clark/patchmate-2019

  A demo/workshop on how to use patchwork and gganimate

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• m-clark/R-V-Presentation

  Reproducibility and R Markdown

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• m-clark/config-files

  gitignore, css, etc.

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