Noir Statistical Library (statnr)
Introducing statnr, a specialized library crafted for the Noir programming language, offering a rich suite of statistical functions critical for a broad spectrum of data analysis, especially pertinent to Zero-Knowledge Proof (ZKP) applications.
Key Features of statnr:
Robust Statistical Measures: Statnr brings essential tools like mean, median, mode, and range calculations to your fingertips. These foundational analyses are not just basic utilities but pivotal in ZKP for data integrity verification and distribution assessments.
Advanced Analytical Functions: Equipped with capabilities for linear and logistic regression analysis, providing tools for predictive modeling and data trends analysis.
Advanced Analytical Functions: Dive into the depths of data with linear and logistic regression capabilities. These functions are particularly valuable in ZKP contexts for modeling data trends and making predictive analyses, forming the backbone of sophisticated cryptographic protocols.
Custom Float Support: Uniquely equipped to manage custom floating-point operations (Float type), alongside classic integer (u64) computations. This feature is crucial in ZKP, where precision and flexibility in data handling can significantly impact the efficiency and security of cryptographic proofs.
Quartile and Variability Analysis: Understanding data spread and variability through quartile computations (Q1, Q2, Q3) is essential in ZKP to evaluate data consistency and detect anomalies, ensuring the reliability of encrypted data sets.
Data Utilities: Offers additional utility functions like sorting, and finding minimum and maximum values, enhancing data preprocessing and manipulation.
Extensive Testing: Each function is backed by a comprehensive suite of tests, ensuring reliability and robustness in statistical computations.
Whether it's for intricate data analysis, building machine learning models, or refining statistical computations in Noir, statnr is your go-to library. Its comprehensive features not only make it a staple for general statistical needs but also a significant asset in the realm of ZKP, where precision, accuracy, and robustness are paramount.