Scistats

High-Performance Descriptive Statistics and Hypothesis Tests in C++20

Statistics help us analyze and interpret data. High-performance statistical algorithms help us analyze and interpret a lot of data. Most environments provide convenient helper functions to calculate basic statistics. Scistats aims to provide high-performance statistical algorithms with an easy and familiar interface. All algorithms can run sequentially or in parallel, depending on how much data you have.

• Quick Start
• Descriptive statistics
  • Central Tendency
  • Dispersion
  • Multivariate Analysis
• Probability Distributions
• Hypothesis Testing
• Bayesian statistics
• Mathematics
  • Parallel Arithmetic
  • Constants
  • Functions
  • Measuring Time
  • Random Number Generators
• Roadmap
• Integration
  • Build from Source
    • Dependencies
    • Build the Examples
    • Installing Scistats from Source
  • CMake targets
    • Find it as a CMake Package
    • Use it as a CMake subdirectory
    • CMake with Automatic Download
  • Other build systems
• Contributing
  • Contributors

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