What is statistics?
This library provides a number of common functions and types useful in statistics. We focus on high performance, numerical robustness, and use of good algorithms. Where possible, we provide references to the statistical literature. The library's facilities can be divided into four broad categories: Working with widely used discrete and continuous probability distributions. (There are dozens of exotic distributions in use; we focus on the most common.) Computing with sample data: quantile estimation, kernel density estimation, histograms, bootstrap methods, significance testing, and regression and autocorrelation analysis. Random variate generation under several different distributions. Common statistical tests for significant differences between samples.
statistics is a tool in the Build Automation category of a tech stack.
statistics Pros & Cons
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statistics Alternatives & Comparisons
What are some alternatives to statistics?
NuGet
A free and open-source package manager designed for the Microsoft development platform. It is also distributed as a Visual Studio extension.
RubyGems
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Bower
Bower is a package manager for the web. It offers a generic, unopinionated solution to the problem of front-end package management, while exposing the package dependency model via an API that can be consumed by a more opinionated build stack. There are no system wide dependencies, no dependencies are shared between different apps, and the dependency tree is flat.
