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
0
Forks
0
Issues
Unknown
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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