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 **Superseded by the models-by-example repo**.
This project provides R code demonstrations for various statistical models and algorithms, often showing how to implement them from scratch. It takes in raw data and outputs the results of common modeling techniques like linear regression, logistic regression, and survival analysis. This is for data analysts, statisticians, or researchers who want to understand the inner workings of these models rather than just applying off-the-shelf packages.
197 stars. No commits in the last 6 months.
Use this if you are an intermediate to advanced user of R who wants to deepen your understanding of how various statistical models and machine learning algorithms function at a fundamental level.
Not ideal if you are looking for ready-to-use, production-grade statistical analysis tools, as much of this code has been superseded by a more organized and updated resource.
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197
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83
Language
R
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Last pushed
Nov 25, 2020
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