Quantile-Regression-Research-Project

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🎯 Best for:Statisticians analyzing non-normal data distributions

What is Quantile-Regression-Research-Project?

Replaces standard linear regression tools for datasets with heteroscedasticity or outliers. Implements quantile regression in R and SAS to model conditional medians and various quantiles across diverse distributions.

Tech Stack
UnknownMathematics & Statistics

Why Quantile-Regression-Research-Project?

  • Handles heteroscedasticity
  • Cross-platform (R and SAS)
  • Includes visualization scripts

Limitations

  • Higher computational cost
  • Requires statistical expertise
  • No real-time API
5/31/2025
Last Update
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Forks
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Issues
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License
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Competitor Cost
-$1,440
/ year (est. based on IBM SPSS Statistics)
Self-Hosted
$0
/ year
Team Size10 Users
150+
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